Relevant bibliographies by topics / Kramer-Rao lower bound criterion

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Academic literature on the topic 'Kramer-Rao lower bound criterion'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Kramer-Rao lower bound criterion"

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Gappmair, Wilfried. "On Parameter Estimation for Bandlimited Optical Intensity Channels." Computation 7, no. 1 (2019): 11. http://dx.doi.org/10.3390/computation7010011.

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Parameter estimation is of paramount importance in every digital receiver. This is not only true for radio, but also for optical links; otherwise, subsequent processing stages, like detector units or error correction schemes, could not be operated reliably. However, for a bandlimited optical intensity channel, the problem of parameter estimation is strongly related to non-negative pulse shapes satisfying also the Nyquist criterion to keep the detection process as simple as possible. To the best of the author’s knowledge, it is the first time that both topics—parameter estimation on the one han
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Zhou, Xiaoli, Hongqiang Wang, Yongqiang Cheng, Yuliang Qin, and Haowen Chen. "Statistical Angular Resolution Limit for Ultrawideband MIMO Noise Radar." International Journal of Antennas and Propagation 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/906313.

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The two-dimensional angular resolution limit (ARL) of elevation and azimuth for MIMO radar with ultrawideband (UWB) noise waveforms is investigated using statistical resolution theory. First, the signal model of monostatic UWB MIMO noise radar is established in a 3D reference frame. Then, the statistical angular resolution limits (SARLs) of two closely spaced targets are derived using the detection-theoretic and estimation-theoretic approaches, respectively. The detection-theoretic approach is based on the generalized likelihood ratio test (GLRT) with given probabilities of false alarm and det
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Han, Qinghua, Weijun Long, Zhen Yang, et al. "Resource Allocation of Netted Opportunistic Array Radar for Maneuvering Target Tracking under Uncertain Conditions." Remote Sensing 16, no. 18 (2024): 3499. http://dx.doi.org/10.3390/rs16183499.

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The highly dynamic properties of maneuvering targets make it intractable for radars to predict the target motion states accurately and quickly, and low-grade predicted states depreciate the efficiency of resource allocation. To overcome this problem, we introduce the modified current statistical (MCS) model, which incorporates the input-acceleration transition matrix into the augmented state transition matrix, to predict the motion state of a maneuvering target. Based on this, a robust resource allocation strategy is developed for maneuvering target tracking (MTT) in a netted opportunistic arr
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Zhang, Jungen, and Shanglin Yang. "Bearings-only Tracking Based on Distributed Multisensor Pseudolinear Kalman Filter." International Journal of Circuits, Systems and Signal Processing 16 (March 28, 2022): 874–81. http://dx.doi.org/10.46300/9106.2022.16.107.

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For bearings-only tracking (BOT), there are mainly two problems of nonlinear filtering and poor range observability. In the paper, a new distributed multisensor pseudolinear Kalman filter (PLKF) algorithm is proposed. The sensors use an instrumental vector PLKF (IV-PLKF) to process the measurements of the target independently, which can tackle the bias arising from the correlation between the measurement vector and pseudolinear noise by the bias compensation PLKF (BC-PLKF). The IV-PLKF embeds the recursive instrumental vector estimation method into the BC-PLKF, uses it to construct the instrum
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Umair, Muhammad Ali, Hira Khalid, Sheikh Muhammad Sajid, and Hector E. Nistazakis. "Gaussian-Shaped Free-Space Optical Beam Intensity Estimation in Detector Arrays." Photonics 10, no. 8 (2023): 930. http://dx.doi.org/10.3390/photonics10080930.

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Photon counting detector arrays are commonly used for deep space optical communication receivers operating on the principle of intensity modulation/direct detection (IM/DD). In scenarios where beam parameters can vary at the receiver due to scattering, it is important to estimate beam parameters in order to minimize the probability of error. The use of array of detectors increases the sensitivity of the receiver as compared to single photo-detector of the same size. In this paper, we present the derivation of a maximum likelihood estimator (ML) for peak optical intensity, providing both numeri
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Jiang, Guoqing, Mingyang Li, Zhuoran Liu, Linchuan Sun, and Qingcui Wang. "A Maximum Likelihood Estimation Method for Underwater Radiated Noise Power." Applied Sciences 15, no. 12 (2025): 6692. https://doi.org/10.3390/app15126692.

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Underwater radiated noise power estimation is crucial for the quantitative assessment of noise levels emitted by ships and underwater vehicles. This paper therefore proposes a maximum likelihood estimation method for determining the power of underwater radiated noise. The method establishes the probability density function of the hydrophones array received data and derives the minimum variance unbiased estimation of the power through theoretical analysis under the maximum likelihood criterion. Numerical simulations and experimental data demonstrate that this method can significantly reduce the
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Pandey, Gaurav, James McBride, Silvio Savarese, and Ryan Eustice. "Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 2053–59. http://dx.doi.org/10.1609/aaai.v26i1.8379.

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This paper reports on a mutual information (MI) based algorithm for automatic extrinsic calibration of a 3D laser scanner and optical camera system. By using MI as the registration criterion, our method is able to work in situ without the need for any specific calibration targets, which makes it practical for in-field calibration. The calibration parameters are estimated by maximizing the mutual information obtained between the sensor-measured surface intensities. We calculate the Cramer-Rao-Lower-Bound (CRLB) and show that the sample variance of the estimated parameters empirically approaches
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Zhou, Rongyan, Jianfeng Chen, Weijie Tan, Haobo Yuan, and Chang Cai. "Sensor Selection for Hybrid AOA-TOA Localization with Correlated Measurement Noise in Underwater Wireless Sensor Networks." Wireless Communications and Mobile Computing 2022 (April 11, 2022): 1–11. http://dx.doi.org/10.1155/2022/2779760.

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Underwater target localization is the most crucial part of the underwater wireless sensor network (UWSN). Due to limited communication range and energy constraints in underwater scenarios, only a subset of sensors can be selected to localize. This paper investigates the sensor selection schemes for hybrid angle-of-arrival (AOA) and time-of-arrival (TOA) localization in the underwater scenario. We first develop the Cramér-Rao lower bound (CRLB) for the hybrid AOA-TOA localization with correlated measurement noise model with Gaussian priors, and a Boolean vector is introduced to denote the selec
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Liu, Qi, Xianpeng Wang, Liangtian Wan, Mengxing Huang, and Lu Sun. "An Accurate Sparse Recovery Algorithm for Range-Angle Localization of Targets via Double-Pulse FDA-MIMO Radar." Wireless Communications and Mobile Computing 2020 (December 16, 2020): 1–12. http://dx.doi.org/10.1155/2020/6698446.

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In this paper, a sparse recovery algorithm based on a double-pulse FDA-MIMO radar is proposed to jointly extract the angle and range estimates of targets. Firstly, the angle estimates of targets are calculated by transmitting a pulse with a zero frequency increment and employing the improved l 1 -SVD method. Subsequently, the range estimates of targets are achieved by utilizing a pulse with a nonzero frequency increment. Specifically, after obtaining the angle estimates of targets, we perform dimensionality reduction processing on the overcomplete dictionary to achieve the automatically paired
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Wan, Pengwu, Yongjing Ni, Benjian Hao, Zan Li, and Yue Zhao. "Passive localization of signal source based on wireless sensor network in the air." International Journal of Distributed Sensor Networks 14, no. 3 (2018): 155014771876737. http://dx.doi.org/10.1177/1550147718767371.

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Passive localization of the wireless signal source attracts a considerable level of research interest for its wide applications in modern wireless communication systems. To accurately locate the signal source passively in the downtown area, sensors are carried on the unmanned aerial vehicles flying in the air, where the wireless sensor network can be established with an optimal geometry configuration conveniently. In this case, the influence of multipath fading can be avoided and the time difference of arrival measurement can be estimated precisely in Rician channel. By employing the operating
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Dissertations / Theses on the topic "Kramer-Rao lower bound criterion"

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Туровський, Олександр Леонідович, Александр Леонидович Туровский та Oleksandr Leonidovych Turovsky. "Моделі та методи підвищення точності роботи систем фазової синхронізації супутникових телекомунікацій в режимі стеження за несучою частотою". Thesis, Національний авіаційний університет, 2021. https://er.nau.edu.ua/handle/NAU/49647.

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У дисертаційній роботі вирішується актуальна науково-технічна проблема розроблення моделей та методів підвищення точності роботи систем фазової синхронізації супутникових телекомунікацій в режимі стеження за несучою частотою. У роботі розроблено моделі та методи синтезу комбінованої системи фазової синхронізації когерентних демодуляторів в режимі стеження за несучою частотою в сталому та перехідному режимах роботи супутникових телекомунікації, які дозволяють синтезувати комбіновані системи синхронізації з суттєвими перевагами по швидкодії і точності оцінки несучої частоти на відміну від
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Conference papers on the topic "Kramer-Rao lower bound criterion"

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Fraschini, C., F. Chaillan, and P. Courmontagne. "An improvement of the discriminating capability of the active sonar by optimization of a criterion based on the Cramer-Rao lower bound." In Oceans 2005 - Europe. IEEE, 2005. http://dx.doi.org/10.1109/oceanse.2005.1513159.

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Xiao, Jie, and Bohdan T. Kulakowski. "Genetic Algorithm-Based Maximum Likelihood Parameter Estimation for Transit Buses." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/de-23251.

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Abstract Vehicle dynamic models include parameters that qualify the dependence of input forces and moments on state and control variables. The accuracy of the model parameter estimates is important for modeling, simulation, and control. In general, the most accurate method for determining values of model parameters is by direct measurement. However, some parameters of vehicle dynamics, such as suspension damping or moments of inertia, are difficult to measure accurately. This study aims at establishing an efficient and accurate parameter estimation method for developing dynamic models for tran
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