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Journal articles on the topic 'TDOA'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Chen, Xiang, Yuheng Chen, Shuai Cao, Lei Zhang, Xu Zhang, and Xun Chen. "Acoustic Indoor Localization System Integrating TDMA+FDMA Transmission Scheme and Positioning Correction Technique." Sensors 19, no. 10 (2019): 2353. http://dx.doi.org/10.3390/s19102353.

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This paper presents a novel audio indoor localization system. In the proposed system, four speakers placed at known positions transmit chirp signals according to the time-division multiple access (TDMA) plus frequency-division multiple access (FDMA) transmission scheme. A smartphone receives the signal via a built-in microphone and calculates the time differences of arrival (TDOAs). Using TDOA measurements, the position is estimated by the shrinking-circle method. In particular, to reduce the positioning error in moving conditions, a TDOA correction method based on Doppler shifts is proposed.

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2

Luo, Ji-An, Zhi-Wen Tan, and Dong-Liang Peng. "A novel bearing-assisted TDOA-GROA approach for passive source localization." International Journal of Intelligent Computing and Cybernetics 11, no. 1 (2018): 2–19. http://dx.doi.org/10.1108/ijicc-11-2016-0056.

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Purpose The passive source localization (PSL) problem using angles of arrival (AOA), time differences of arrival (TDOA) or gain ratios of arrival (GROA) is generally nonlinear and nontrival. In this research, the purpose of this paper is to design an accurate hybrid source localization approach to solve the PSL problem. The inspiration is drawn from the fact that the bearings, TDOAs and GROAs are complementary in terms of their geometry properties. Design/methodology/approach The maximum-likelihood (ML) method is reexamined by using hybrid measurements. Being assisted by the bearings, a new hy

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3

Ouyang, Xinxin, Shanfeng Yao, and Qun Wan. "A Coherent Integrated TDOA Estimation Method for Target and Reference Signals." Electronics 11, no. 16 (2022): 2632. http://dx.doi.org/10.3390/electronics11162632.

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The performance of a time difference of arrival (TDOA) localization system is severely affected by time synchronization errors, and making use of reference signals is a common solution for the problem. The traditional method has two steps, first to measure the TDOAs of the target signal and reference signal separately, and next, to compensate the estimated target TDOA with the difference of the estimated reference TDOA and the true reference TDOA. Since the performance of the TDOA estimation is mainly decided by the frequency information, a coherent integration TDOA estimation method for the t

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4

Wada, Atsushi, and Shingo Yoshizawa. "Transmission of Depth Data by Pulse Position Modulation for Underwater Acoustic Positioning Systems." International Journal of Circuits, Systems and Signal Processing 16 (May 30, 2022): 999–1006. http://dx.doi.org/10.46300/9106.2022.16.122.

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This paper presents a three dimensional localization method for underwater acoustic positioning systems. In typical ultra-short baseline (USBL) acoustic positioning systems, the three dimensional position is localized by using multiple time difference of arrivals (TDOAs). Since the TDOA accuracy is less than the other sensor data, we focus on a localization method with the minimum number of TDOA. We propose a method of transmitting depth data by pulse position modulation (PPM), where the target position is localized by a single TDOA, a distance, and a depth. The proposed method shows a higher

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5

Wang, Shanhe, Yu Xiang, Yuanyuan Gao, Yu Hua, Changjiang Huang, and Xian Zhao. "The Time Difference of Arrival Estimation Method Utilizing an Inexact Reconstruction Within the Framework of Compressed Sensing." Remote Sensing 16, no. 21 (2024): 4039. http://dx.doi.org/10.3390/rs16214039.

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The time difference of arrival (TDOA) estimation plays a crucial role in emitter localization and time synchronization applications. When time among multiple sensors is synchronized, the TDOAs between the sensors and the emitter can be measured to achieve hyperbolic positioning of the emitter. Conversely, if the positions of both the sensors and the emitter are known, TDOAs can be utilized to synchronize the clocks across the sensors. Given that compressed sensing (CS) can reduce both the sampling rate and data volume, thereby enhancing the efficiency of TDOA estimation, there has been growing

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6

Xue, Jie, Binbin Su, Yongcai Liu, and Jin Meng. "A Multi-Receiver Pulse Deinterleaving Method Based on SSC-DBSCAN and TDOA Mapping." Electronics 14, no. 9 (2025): 1833. https://doi.org/10.3390/electronics14091833.

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Deinterleaving pulses of various pulse repetition interval (PRI) modulation modes constitute a vital and challenging task for an electronic measures system (ESM). A deinterleaving method based on multi-receiver time-difference-of-arrival (TDOA) is proposed in this paper. Firstly, this paper theoretically analyzes the distribution feature of TDOA, providing the basis of deinterleaving. Then, a SSC (Sorting Skipping Clustering)-DBSCAN algorithm is proposed to achieve TDOA clustering by pre-sorting and traversing key points, which reduces the computational complexity. The TDOA mapping algorithm i

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7

Deng, Wang, Zheng, et al. "A Closed-Form Localization Algorithm and GDOP Analysis for Multiple TDOAs and Single TOA Based Hybrid Positioning." Applied Sciences 9, no. 22 (2019): 4935. http://dx.doi.org/10.3390/app9224935.

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Cellular communication systems support mobile phones positioning function for Enhanced-911 (E-911) location requirements, but the positioning accuracy is poor. The fifth-generation (5G) cellular communication system can use indoor distribution systems to provide accurate multiple time-difference-of-arrival (TDOA) and single time-of-arrival (TOA) measurements, which could significantly improve the indoor positioning ability. Unlike iterative localization algorithms for TDOA or TOA, the existing closed-form algorithms, such as the Chan-Ho algorithm, do not have convergence problems, but can only

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8

IBRAHIM, NUR. "Pendeteksian Lokasi Sumber Noise (Partial Discharge) secara Tiga Dimensi menggunakan Antenna Array." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 3, no. 2 (2015): 106. http://dx.doi.org/10.26760/elkomika.v3i2.106.

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ABSTRAKPada penelitian ini akan dilakukan simulasi teknik pendeteksian lokasi sumber noise berupa partial discharge (PD) pada peralatan tegangan tinggi, dengan menggunakan susunan antena yang terdiri dari empat buah antena monopole sebagai sensor untuk mendeteksi gelombang elektromagnetik (EM) yang dipancarkan dari partial discharge (PD). Algoritma yang digunakan mengacu kepada time difference of arrival (TDOA) dari sinyal yang diterima antar antena (dengan menjadikan salah satu antena sebagai antena referensi). Metode yang digunakan untuk menentukan TDOA adalah metode Akaike Information Crite

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9

Yuk, Simun, and Youngho Cho. "A Time-Based Dynamic Operation Model for Webpage Steganography Methods." Electronics 9, no. 12 (2020): 2113. http://dx.doi.org/10.3390/electronics9122113.

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The webpage steganography technique has been used for a covert communication method for various purposes in which a sender embeds a secret message into a plain webpage file like an HTML file by using various steganography methods. With human eyes, it is very difficult to distinguish between the original webpage (cover webpage) and the modified webpage with the secret data (stego webpage) because both are displayed alike in a web browser. In this approach, when two communicating entities want to share a secret message, a sender uploads a stego webpage to a web server or modifies an existing web

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10

Liu, Yan, and Fucheng Guo. "Fast TDOA and FDOA Estimation for Coherent Pulse Signals." International Journal of Antennas and Propagation 2022 (September 20, 2022): 1–9. http://dx.doi.org/10.1155/2022/5390970.

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Time difference of arrival (TDOA) and frequency difference of arrival (FDOA) have been widely used for localizing temporally continuous signals passively. Temporal sparsity of pulse signals makes their TDOA and FDOA estimation processes much different, and computational complexity is a major concern in this area. This paper addresses the problem of fast TDOA and FDOA estimation of pulse signals and focuses mainly on narrowband coherent pulses. By decoupling the effects of TDOA and FDOA in the cost function of localization approximately, we propose a fast coarse TDOA and FDOA estimation method.

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11

Permana, Andriyan, Agfianto Eko Putra, and Catur Atmaji. "Analisis Perkiraan TDOA menggunakan Algoritma LMS Adaptif pada Pelacakan Paus Lodan." IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 5, no. 1 (2015): 11. http://dx.doi.org/10.22146/ijeis.7149.

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AbstrakPenelitian mengenai perkiraan TDOA dalam pelacakan paus lodan telah dilakukan[1] yang menggunakan Teager-Kaiser operator dalam peningkatan akurasi perkiraan nilai TDOA untuk pelacakan paus lodan menggunakan algoritma LMS adaptif. Namun demikian, belum dilakukan penelitian lebih lanjut mengenai faktor konvergensi (μ) yang tepat (cepat dan akurat) pada perkiraan TDOA menggunakan algoritma LMS adaptif untuk pelacakan paus lodan. Akan dilakukan analisis perkiraan nilai TDOA menggunakan algoritma LMS adaptif pada pelacakan posisi paus lodan dengan variasi nilai μ. Pada penelitian ini, sebaga

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12

Yaro, Abdulmalik Shehu, Ahmad Zuri Sha'ameri, and Saâ€™id Musa Yarima. "Direct and Indirect TDOA Estimation based Multilateration System Position Estimation Accuracy Comparison." ELEKTRIKA- Journal of Electrical Engineering 20, no. 1 (2021): 54–64. http://dx.doi.org/10.11113/elektrika.v20n1.226.

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Multilateration (MLAT) system estimate aircraft position from its electromagnetic emission using time difference of arrival (TDOA) estimated at ground receiving station (GRS)s with a lateration algorithm. The position estimation (PE) accuracy of the MLAT system depends on several factors one of which is the TDOA estimation approach. In this paper, the PE performance of a minimum configuration 3-dimensional (3-D) MLAT system based on the direct and indirect approaches to TDOA estimation is presented. The analysis is carried out using Monte Carlo simulation with the transmitter and receiver para

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13

Pascoe, Devin, John L. Spiesberger, and David K. Mellinger. "Unreported large errors in a common method for sound source localization of marine mammals." Journal of the Acoustical Society of America 156, no. 6 (2024): 3780–87. https://doi.org/10.1121/10.0034547.

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Confidence intervals of location of calling marine mammals, derived from time differences of arrival (TDOA) between receivers, depend on errors of TDOAs, receiver location, clocks, sound speeds, and location method. Simulations demonstrate Ishmael, a TDOA locator based on uncorrected least squares minimization (ULSM), yields errors with mean, standard deviation, and maximum of 0.1, 0.2, and 0.9 km, respectively, due to sensitivity to inputs and numerical implementation when applied to scenarios with minuscule errors; e.g., five clock-synchronized receivers residing on the vertices of a square

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14

Jang, Junsu, Florian Meyer, Eric Snyder, Sean Wiggins, Simone Baumann-Pickering, and John Hildebrand. "Bayesian detection and tracking of odontocetes in 3D from their echolocation clicks." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A176. http://dx.doi.org/10.1121/10.0018572.

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To study behaviors of marine mammals in a nonintrusive manner, their bio-acoustical signals can be recorded by volumetric hydrophone arrays that provide time difference of arrival (TDOA) measurements for localization and tracking. Multi-target tracking (MTT) in 3-D using TDOA measurements from multiple sensors, however, must cope with non-linear measurement models and high-dimensional states. False alarms, missed detections and unknown data associations impose further challenges, often requiring human operators to annotate the data manually. We propose a data processing chain that automaticall

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15

Hubáček, Petr, Jiří Veselý, and Jana Olivová. "The Complete Analytical Solution of the TDOA Localization Method." Defence Science Journal 72, no. 2 (2022): 227–35. http://dx.doi.org/10.14429/dsj.72.16933.

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This article is focused on the analytical solution of a TDOA (Time Difference of Arrival) localization method, including analysis of accuracy and unambiguity of a target position estimation in 2D space. The method is processed under two conditions - sufficiently determined localization system and an overdetermined localization system. It is assumed that the TDOA localization system operates in a LOS (Line of Sight) situation and several time-synchronized sensors are placed arbitrarily across the area. The main contribution of the article is the complete description of the TDOA localization met

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16

Yu, Ziyuan, Jin Liu, Chao Pan, Lvqian Guo, Zhiwei Kang, and Xin Ma. "Solar TDOA measurement and integrated navigation for formation flying." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 12 (2019): 4635–45. http://dx.doi.org/10.1177/0954410019827148.

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To improve the positioning accuracy of autonomous celestial navigation systems when flying in formation, we exploit the fact that the sole light source in the solar system is the Sun to directly provide positioning information for relative navigation. We term this solar Time Difference of Arrival (TDOA) navigation for formation flying. Solar light has the potential to provide a solar Time of Arrival (TOA) because of its unstable intensity. However, the solar TOA cannot be used for navigation because it has no baseline. To solve this problem, we took the difference between the solar TOAs of two

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17

Watkins, Luisa, Pietro Stinco, Alessandra Tesei, and Florian Meyer. "Sequential source localization in shallow water by single-receiver probabilistic focalization." Journal of the Acoustical Society of America 157, no. 4 (2025): 2819–34. https://doi.org/10.1121/10.0036055.

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In a shallow water waveguide, due to reflection and refraction, acoustic signals travel along multiple propagation paths from the transmitter to the receiver. Each propagation path can potentially provide additional information for source localization. We introduce a sequential Bayesian estimation method that can localize a continuous acoustic source in the water column using only a single mobile receiver by exploiting multipath propagation. Our probabilistic focalization approach estimates the time-varying range and depth of a continuous broadband acoustic source in the presence of measuremen

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18

Liu, Chang, Fengshan Bai, and Chunsheng Wu. "A Joint Positioning Algorithm of TDOA and TOF Based on Ultra-wideband." Journal of Physics: Conference Series 2031, no. 1 (2021): 012039. http://dx.doi.org/10.1088/1742-6596/2031/1/012039.

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Abstract Ultra-wideband (UWB) positioning is a mainstream positioning technology in recent years, and the main positioning algorithms used in UWB based positioning systems are TDOA and TOA. Aiming at the problem of unstable positioning accuracy of TDOA algorithm in traditional UWB positioning system, this paper proposes a joint positioning algorithm of TDOA and TOF based on UWB. The algorithm needs only one time of TOF ranging and combined with the TDOA algorithm, the distances between all base stations and a single tag in the positioning area can be obtained. Compared with the single TDOA alg

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19

Zhou, Junjie, LiangJie Shen, and Zhenlong Sun. "A New Method of D-TDOA Time Measurement Based on RTT." MATEC Web of Conferences 207 (2018): 03018. http://dx.doi.org/10.1051/matecconf/201820703018.

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In this paper, a novel difference-time difference of arrival (D-TDOA) time measurement method based on round-trip transmission (RTT) is proposed. The accuracy of time measurement is critical for high accuracy positioning, yet the traditional time difference of arrival (TDOA) time measurement method cannot deal well with the problem of time synchronization error, such as the initial time offset and transmission cumulate time error caused by clock frequency offset and drift. We formulate a D-TDOA time measurement mechanism to overcome the shortcoming of the traditional TDOA method in eliminating

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20

Xin, Jihao, Xuyang Ge, Yuan Zhang, et al. "High-Precision Time Difference of Arrival Estimation Method Based on Phase Measurement." Remote Sensing 16, no. 7 (2024): 1197. http://dx.doi.org/10.3390/rs16071197.

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In unmanned aerial vehicle (UAV)-based time difference of arrival (TDOA) positioning technique, baselines are limited due to communication constraints. In this case, the accuracy is highly sensitive to the TDOA measurements’ error. This article primarily addresses the problem of short-baseline high-precision time synchronization and TDOA measurement. We conducted a detailed analysis of error models in TDOA systems, considering both the time and phase measurement. We utilize the frequency division wireless phase synchronization technique in TDOA systems. Building upon this synchronization schem

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21

Ouyang, Xinxin, Hongtao Cao, Shanfeng Yao, and Qun Wan. "An Improved Time Difference of Arrival/Frequency Difference of Arrival Estimation Algorithm for Frequency Shift Keying Signals." Electronics 14, no. 1 (2025): 158. https://doi.org/10.3390/electronics14010158.

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Based on the generalized cross-correlation method (GCC), the period peaks in the cross-correlation function (CCF) of frequency shift keying (FSK) signals will degrade the estimation performance of time difference of arrival (TDOA), as well as the estimation performance of frequency difference of arrival (FDOA), through the cross ambiguity function (CAF), in the case of a low signal-to-noise ratio (SNR). An improved TDOA/FDOA estimation algorithm made using period peaks is proposed in this paper to better understand the performance of TDOA/FDOA estimation for FSK signals. First, the cross ambig

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Jiang, Yi, Qing Hu, and Dongkai Yang. "Analysis of Positioning Error for Two-Dimensional Location System." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/163958.

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This paper investigates the positioning error using different positioning techniques for two-dimensional location system. Based on the measurement models of TOA with/without the time synchronization and TDOA techniques, the performance comparison analysis between TOA with/without the time synchronization and TDOA is presented respectively. The performance of TOA with the time synchronization and TDOA is influenced by the specific distribution of the reference nodes. Hence, it is hard to determine which one is better. The performance of TDOA is always superior to TOA without the time synchroniz

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23

Feng, Miao, Zhaoning Gu, and Shiliang Fang. "A Multiple Target Data Association Method for TDOA Passive Localization." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 6 (2023): 1828–33. http://dx.doi.org/10.3397/in_2022_0258.

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In order to solve the multiple target data association problem in underwater acoustic passive localization system, a new algorithm focus on data association in Time Difference of Arriva l(TDOA) is studied. Firstly, the zero-sum condition is used to select TDOA measurements according to the continuous measurement values within a certain period of time. Then, the selected TDOA measurements are associated with the multiple targets and the correct correlation probability is measured by the correlation degree. The algorithm is used in sea trial. Processing results show that the method proposed in t

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Aernouts, Michiel, Noori BniLam, Rafael Berkvens, and Maarten Weyn. "TDAoA: A combination of TDoA and AoA localization with LoRaWAN." Internet of Things 11 (September 2020): 100236. http://dx.doi.org/10.1016/j.iot.2020.100236.

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Li, Jinzhou, Shouye Lv, Liujie Lv, et al. "Joint TDOA, FDOA and PDOA Localization Approaches and Performance Analysis." Remote Sensing 15, no. 4 (2023): 915. http://dx.doi.org/10.3390/rs15040915.

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Multi-station joint localization has important practical significance. In this paper, phase difference of arrival (PDOA) information is introduced into the joint time difference of arrival (TDOA) and frequency difference of arrival (FDOA) localization method to improve the target localization accuracy. First, the Cramer–Rao lower bound (CRLB) of the joint TDOA, FDOA and PDOA localization approach with multi-station precise phase synchronization is derived. Then, the CRLB of the joint TDOA, FDOA and differential PDOA (dPDOA) localization method for the case of phase asynchronization between obs

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Li, Fengquan, Zhuling Sun, Mingyuan Liu, et al. "A New Hybrid Algorithm to Image Lightning Channels Combining the Time Difference of Arrival Technique and Electromagnetic Time Reversal Technique." Remote Sensing 13, no. 22 (2021): 4658. http://dx.doi.org/10.3390/rs13224658.

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Very-high-frequency (VHF) electromagnetic signals have been well used to image lightning channels with high temporal and spatial resolution due to their capability to penetrate clouds. A lightning broadband VHF interferometer with three VHF antennas configured in a scalene-triangle shape has been installed in Lhasa since 2019, to detect the lightning VHF signals. Using the signals from the VHF interferometer, a new hybrid algorithm, called the TDOA-EMTR technique, combining the time difference of arrival (TDOA) and the electromagnetic time reversal (EMTR) technique is introduced to image the t

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Liu, Qi, Rongyi Hu, and Shan Liu. "A Wireless Location System in LTE Networks." Mobile Information Systems 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/6160489.

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Personal location technologies are becoming important with the rapid development of Mobile Internet services. In traditional cellular networks, the key problems of user location technologies are high-precision synchronization among different base stations, inflexible processing resources, and low accuracy positioning, especially for indoor environment. In this paper, a new LTE location system in Centralized Radio Access Network (C-RAN) is proposed, which makes channel and location measurement more available, allocation of baseband processing resources more flexible, and location service capabi

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Dogancay, Kutluyil, and Hatem Hmam. "3D TDOA Emitter Localization Using Conic Approximation." Sensors 23, no. 14 (2023): 6254. http://dx.doi.org/10.3390/s23146254.

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This paper develops a new time difference of arrival (TDOA) emitter localization algorithm in the 3D space, employing conic approximations of hyperboloids associated with TDOA measurements. TDOA measurements are first converted to 1D angle of arrival (1D-AOA) measurements that define TDOA cones centred about axes connecting the corresponding TDOA sensor pairs. Then, the emitter location is calculated from the triangulation of 1D-AOAs, which is formulated as a system of nonlinear equations and solved by a low-complexity two-stage estimation algorithm composed of an iterative weighted least squa

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Stefański, Jacek. "ASYNCHRONICZNA METODA TDOA." PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE 1, no. 4 (2015): 180–83. http://dx.doi.org/10.15199/59.2015.4.44.

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Ma, Shuang, Zheng Liu, and Wen Li Jiang. "Pulse Sorting Algorithm Using TDOA in Multiple Sensors System." Advanced Materials Research 571 (September 2012): 665–70. http://dx.doi.org/10.4028/www.scientific.net/amr.571.665.

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Time difference of arrival (TDOA) can be used for pulse sorting. To solve the problem of deceptive TDOA clusters caused by high pulse repetitive frequency (PRF) emitters and the problem of less pulse accumulation caused by ultra-low PRF emitters, a recursive extended histogram (REH) algorithm is proposed. TDOA data are formed into an extended histogram structure, which is processed recursively to detect and sort out the pulses of each emitter. Simulation results show that the method is applicable and effective.

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Jafari, Ahmadreza, Luca Petrillo, Julien Sarrazin, David Lautru, Philippe De Doncker, and Aziz Benlarbi-Delai. "TDOA estimation method using 60 GHz OFDM spectrum." International Journal of Microwave and Wireless Technologies 7, no. 1 (2014): 31–35. http://dx.doi.org/10.1017/s1759078714000324.

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In the field of high data rate wireless communications, localization issues play a key role in achieving energy-efficient communication and geographic routing. time-difference of arrival (TDOA)-based localization methods present numerous advantages. In this paper, a new method of TDOA estimation is proposed. With this method, unlike conventional TDOA measurements, it is possible to perform communication and localization at the same time by using a multi-input single-output system. By transmitting ultra-wide-band orthogonal frequency-division multiplexing signals using spatial diversity, it is

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Ma, Guoning, Zhijiang Huang, Ming Wang, et al. "Performance Analysis and Sensor-Target Geometry Optimization for TOA and TDOA-Based Hybrid Source Localization Method." Applied Sciences 12, no. 24 (2022): 12977. http://dx.doi.org/10.3390/app122412977.

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Currently, the performance analysis of positioning algorithms and optimization of ground station deployment schemes are predominantly based on pure TOA or TDOA measurement information, and the relevant theoretical analysis is primarily the geometric analysis of optimal station deployment for fixed point targets, with few placement ranges and amount of station constraints. In practice, however, there are typically several measurements from TOA and TDOA stations, with a focus on positioning precision within a certain region or line trajectory, as well as the necessity for constraints on the grou

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Kim, Jonghoek. "TDOA-Based Target Tracking Filter While Reducing NLOS Errors in Cluttered Environments." Sensors 23, no. 9 (2023): 4566. http://dx.doi.org/10.3390/s23094566.

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We consider tracking a moving target in a wireless communication system that is based on the radio signal. Considering a bounded workspace with many unknown obstacles, we handle tracking a non-cooperative transmitter using multiple signal receivers. Here, a non-cooperative transmitter is a transmitter whose signal emission time is not known in advance. We consider a time difference of arrival (TDOA) location problem, which locates the transmitter by processing the signal measurement time at multiple receivers. In tracking a non-cooperative transmitter, non-line-of-sight (NLOS) errors occur if

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34

Li, Xiaolong, Yi Xing, and Zhenkai Zhang. "A Hybrid AOA and TDOA-Based Localization Method Using Only Two Stations." International Journal of Antennas and Propagation 2021 (September 27, 2021): 1–8. http://dx.doi.org/10.1155/2021/5512395.

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Target localization plays an important role in the application of radar, sonar, and wireless sensor networks. In order to improve the localization performance using only two stations, a hybrid localization method based on angle of arrival (AOA) and time difference of arrival (TDOA) measurements is proposed in this paper. Firstly, the optimization model for localization based on AOA and TDOA are built, respectively, in the sensor network. Secondly,the majorization-minimization (MM) method is employed to create surrogate functions for solving the multiple objective optimization problem. Next, th

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Feng, Fei, Ya Sheng Zhang, Bo Ou, and Geng Chen. "The Research about Interference Location Based on Different Times of TDOA with Two Satellites." Applied Mechanics and Materials 713-715 (January 2015): 1132–36. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1132.

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In this paper, we propose an interference location method based on different times of TDOA (the time difference of arrival) which only used two satellites (the main satellite and its adjacent satellite). Firstly, the model of interference location is built based on two different TDOA data and one spheroid model of earth. Subsequently, a series of practical data of communication satellites are calculated with this model and the trust-region method, aiming to test the validity of the proposed model. Furthermore, comparing with some other methods, such as some researchers based on TDOA and FDOA (

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Mar, Jeich, Shin Ru Wu, Yu Ting Wang, and Kuei Chou Tsai. "A Three-Dimensional Position System Using Digital TDE Receiver and Cylindrical Array Antenna." Applied Mechanics and Materials 284-287 (January 2013): 2603–8. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2603.

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Based on the digital time delay estimation (TDE) and Gauss-Newton Interpolation algorithms, the circular error probability (CEP) of the proposed four-station position system using time difference of arrival (TDOA) over Rayleigh fading channel was studied by numerical computation in three-dimension space. The hybrid three-station TDOA and direction of arrival (DOA) position system was used to improve the reliability of four-station TDOA position system. Simulations indicate that the accuracy of the proposed position system is significantly decreased by reducing one measuring station and providi

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Legkostup, V. V. "Method of spatial cross-coupling elimination of control system channels for object guidance using two TDoA measurements." Proceedings of the National Academy of Sciences of Belarus, Physical-Technical Series 67, no. 4 (2023): 409–20. http://dx.doi.org/10.29235/1561-8358-2022-67-4-409-420.

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The problem of object guidance to the target point using two time difference of arrival (TDoA) measurements obtained from three navigation positions is considered. A general equation that describes a kinematic trajectory of the object along the line of intersection of two object position hyperboloids corresponding to the two TDoA measurements is obtained. It has been found out that the kinematic trajectory of the object lies in a plane perpendicular to the plane of three navigation positions. This kinematic trajectory can be described by the conic equation in the general case, and in the range

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XU, WANG, and ZI SHU HE. "A Weighed Least Square TDOA Location Algorithm for TDMA Multi-target." International Journal of Wireless and Microwave Technologies 1, no. 2 (2011): 16–25. http://dx.doi.org/10.5815/ijwmt.2011.02.03.

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Huo, Lihuan, Rulong Bai, Man Jiang, et al. "A Tri-Satellite Interference Source Localization Method for Eliminating Mirrored Location." Sensors 21, no. 13 (2021): 4483. http://dx.doi.org/10.3390/s21134483.

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With the increase in satellite communication interference, the tri-satellite time difference of arrival (TDOA) localization technique, which is an effective method to determine the location of the interference using sensors or antennas, has been developed rapidly. The location of the interference source is determined through the intersection of the TDOA lines of position (LOP). However, when the two TDOA LOP have two mirrored intersection points, it is theoretically difficult to determine the real location. Aiming at this problem, a method for eliminating mirrored location based on multiple mo

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Ouyang, Xinxin, Shanfeng Yao, and Qun Wan. "Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration." Electronics 12, no. 9 (2023): 2151. http://dx.doi.org/10.3390/electronics12092151.

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Passive localization relies significantly on the estimation of the Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) to accurately determine the location of a target. The precision of TDOA and FDOA estimation is affected by signal parameters of time and frequency distribution. In case of multiple signals arising at different frequency bands and intercepted simultaneously by spatially separate sensors covering a wide frequency band, the traditional method is first to separate the signals from the mixed wideband signal through digital down conversion (DDC), which bring

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Yoshizawa, Shingo. "Underwater Acoustic Localization Based on IR-GCC-PHAT in Reverberant Environments." International Journal of Circuits, Systems and Signal Processing 15 (March 12, 2021): 164–71. http://dx.doi.org/10.46300/9106.2021.15.18.

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This paper presents a method of underwater acoustic localization in reverberant environments. Time difference of arrival (TDOA) measurement algorithm is a key technology for estimating direction of arrival (DOA) of an underwater sound source. In strong multipath interference, the pseudo-peaks in a correlation function disturb the detection of a correct time position and lead to a large TDOA measurement error. The proposed algorithm computes a time difference by taking cross-correlation of two impulse responses and improves robustness to multipath interference. The comparison of TDOA algorithms

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Ren, Wen-juan, Dong-hui Hu, and Chi-biao Ding. "Multi-TDOA Location Algorithm for Three Satellites TDOA Passive Location System." JOURNAL OF RADARS 1, no. 3 (2012): 262–69. http://dx.doi.org/10.3724/sp.j.1300.2012.20050.

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Xie, Wupeng, Guanghong Liu, Xiaoxiao Xiang, Kang Xing, and Xiaojuan Zhang. "Time Difference of Arrival Estimation of Stationary Targets Utilizing Deep Neural Network." Journal of Physics: Conference Series 2414, no. 1 (2022): 012021. http://dx.doi.org/10.1088/1742-6596/2414/1/012021.

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Abstract Time difference of arrival (TDOA) is widely used in the field of passive location because of its flexible base station deployment and simple principle. However, when solving the solution of stationary targets position, the traditional method, such as the two-stage weighted least squares (TSWLS) algorithm, is easily affected by noise, and cannot achieve good localization results in practical situations. To solve this problem, we propose a deep neural network (DNN) for TDOA estimation of stationary targets. First, a large number of simulation samples are generated according to the TDOA

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Wang, Yuqi, Guang-Cai Sun, Yong Wang, Jun Yang, Zijing Zhang, and Mengdao Xing. "A Multi-Pulse Cross Ambiguity Function for the Wideband TDOA and FDOA to Locate an Emitter Passively." Remote Sensing 14, no. 15 (2022): 3545. http://dx.doi.org/10.3390/rs14153545.

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The time difference of arrival (TDOA) and frequency difference of arrival (FDOA) between two receivers are widely used to locate an emitter. Algorithms based on cross ambiguity functions can simultaneously estimate the TDOA and FDOA accurately. However, the algorithms, including the joint processing of received data, require transferring a large volume of data to a central computing unit. It can be a heavy load for the data link, especially for a wideband signal obtained at a high sampling rate. Thus, we proposed a multi-pulse cross ambiguity function (MPCAF) to compress the data before transm

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Woźniak, Szymon, and Konrad Kowalczyk. "Reverberation-Robust Self-Calibration and Synchronization of Distributed Microphone Arrays by Mitigating Heteroscedasticity and Outlier Occurrence in TDoA Measurements." Sensors 24, no. 1 (2023): 114. http://dx.doi.org/10.3390/s24010114.

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The network of distributed microphone arrays is usually established in an ad hoc manner; hence, network parameters such as the mutual positioning and rotation of the arrays, positions of sources, and synchronization of their recording onset times are initially unknown. In this article, we consider the problem of passively jointly self-calibrating and synchronizing distributed arrays in reverberant rooms. We use a typical two-step approach where, initially, the relative geometry of the network is estimated using Direction of Arrival (DoA) measurements. Subsequently, the absolute scale and synch

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Shehu Yaro, Abdulmalik. "Aircraft Position Estimation Comparison of Multilateration System Lateration Algorithms with Different Reference Selection Techniques." ELEKTRIKA- Journal of Electrical Engineering 18, no. 1 (2019): 16–21. http://dx.doi.org/10.11113/elektrika.v18n1.133.

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The lateration algorithm is used by the multilateration (MLAT) system to estimation the position of an aircraft using a time difference of arrival (TDOA) measurement vector generated from its transponder emissions detected at spatially deployed ground station (GS)s. The accuracy at which the aircraft position is determined by the lateration algorithm depends on several factors two of which are the choice and number of reference GSs used in generating the TDOA measurement vector. This paper compares the aircraft PE accuracy of a lateration algorithm using TDOA measurement vector generated using

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Mao, Yi, Yongwen Zhu, Zhili Tang, and Zhijie Chen. "A Novel Airspace Planning Algorithm for Cooperative Target Localization." Electronics 11, no. 18 (2022): 2950. http://dx.doi.org/10.3390/electronics11182950.

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With the development of modern electromagnetic stealth technology and ARM, traditional active radar detection cannot accomplish its detection mission, limited by its ability. Relying on such superior advantages such as imperceptibility, anti-electromagnetic interference and electromagnetic stealth, passive transducers are playing an indispensable and significant role in situation awareness. While, in addition to different passive transducer localization modes and solutions of target’s location, the reasonable planning and optimal layout of passive transducers’ location are other major factors

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Song, Wei Guo, and Yi De Li. "One Algorithm for TDOA/AOA Combined Position." Advanced Materials Research 562-564 (August 2012): 2139–44. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.2139.

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Aiming at the position problem of emitter on the ground, this paper puts forward one TDOA/AOA combined position algorithm. In this algorithm, one sensor can be placed on one fixed platform on the ground to measure the azimuth and pitch angle between this sensor and the emitter. Another sensor can be placed on one moving platform, and the different TDOA (Time Difference Of Arrival) can be measured at different time, then the LS (Least Square) algorithm can be reached to solve the evaluated value of the emitter’s position. The simulation results show that this algorithm can increase the position

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Mao, Jiaqi, Feng Luo, and Xiaoquan Hu. "Distributed Passive Positioning and Sorting Method for Multi-Network Frequency-Hopping Time Division Multiple Access Signals." Sensors 24, no. 22 (2024): 7168. http://dx.doi.org/10.3390/s24227168.

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When there are time division multiple access (TDMA) signals with large bandwidth, waveform aliasing, and fast frequency-hopping in space, current methods have difficulty achieving the accurate localization of radiation sources and signal-sorting from multiple network stations. To solve the above problems, a distributed passive positioning and network stations sorting method for broadband frequency-hopping signals based on two-level parameter estimation and joint clustering is proposed in this paper. Firstly, a two-stage filtering structure is designed to achieve control filtering for each freq

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Gotthans, Jakub, Tomas Gotthans, and David Novak. "Improving TDOA Radar Performance in Jammed Areas through Neural Network-Based Signal Processing." Sensors 23, no. 6 (2023): 2889. http://dx.doi.org/10.3390/s23062889.

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This paper presents a method for estimating the position of a target under jammed conditions using the Time Difference of Arrival (TDOA) method. The algorithm utilizes a deep neural network to overcome the challenges posed by the jammed conditions. The simulations and results indicate that the presented method is more accurate and efficient than the traditional TDOA methods.

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