Relevant bibliographies by topics / TDOA

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'TDOA'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "TDOA"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "TDOA"

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Bennett, Granger Hart. "Acoustic transient TDOA estimation and discrimination." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA384321.

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Thesis (M.S. in Electrical Engineering and M.S. in Engineering Acoustics) Naval Postgraduate School, September 2000.<br>Thesis advisor(s): Therrien, Charles W. ; Tummala, Murrali ; Smith, Kevin B. "September 2000." Includes bibliographical references (p. 57-58). Also available online.
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Arbring, Joel, and Patrik Hedström. "On Data Compression for TDOA Localization." Thesis, Linköping University, Information Coding, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-57274.

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<p>This master thesis investigates different approaches to data compression on common types of signals in the context of localization by estimating time difference of arrival (TDOA). The thesis includes evaluation of the compression schemes using recorded data, collected as part of the thesis work. This evaluation shows that compression is possible while preserving localization accuracy.</p><p>The recorded data is backed up with more extensive simulations using a free space propagation model without attenuation. The signals investigated are flat spectrum signals, signals using phase-shift keyi
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Humpherys, Brian. "SIGNAL TDOA BASED HIGH RESOLUTION TSPI." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/608843.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California<br>This paper describes a method for determining high resolution time, space, and position information for a test range flight vehicle using four tracking receivers. Equipped with GPS time systems, each receiver records the exact time at which a time marker embedded in the transmitted TM data stream is received. With this information, the time difference of arrival for the time markers at three of the receivers can be calculated referenced to the four
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Nan, Xie, and Zhang Futang. "Performance Analysis of Reentry TDOA Positioning System." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606140.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>In reentry measurement, we need to measure the track of reentry vehicle. For the speed of target is very high, it is difficult for traditional positioning system to capture and track the target. TDOA (time difference of arrival) positioning system is used in reentry measurement. The position of target is calculated by using time difference of arrival. This paper introduces the principle of ree
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Kovavisaruch, La-or. "Source localization using TDOA with erroneous receiver positions." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/6278.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2005.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (May 22, 2006) Vita. Includes bibliographical references.
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Bressner, Thomas Arthur Herbert. "Development and Evaluation of UTDoAas a Positioning Method in LTE." Thesis, KTH, Signalbehandling, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176499.

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Although positioning has been one of the main target study areas in mobile communication in the last decade, it still receives strong attention in recent years focusing more on the indoor users. Nowadays, a wide range of different methods are available to estimate the position of the target user under certain circumstances. One of these methods is Uplink Time Difference of Arrival (UTDoA), which has been defined in 3GPP Release 11 for Long Term Evolution (LTE) networks, and is the focus of this master thesis. In Uplink based positioning, to estimate the position of a User Equipment (UE), the U
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Basciftci, Cagri Halis. "Direction Finding With Tdoa In A Multipath Land Environment." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608756/index.pdf.

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In this thesis, the problem of Angle of Arrival estimation of radar signals with Time Difference of Arrival method in an outdoor land multipath environment with limited line of sight is analyzed. A system model is proposed. Effects of system, channel and radar parameters on the Angle of Arrival estimation performance are investigated through Monte Carlo simulations. Improving effect of utilization of diversity on the estimation performance is observed. Performances of the space diversity with noncoherent and selective combining are compared. Finally a realistic scenario is studied and perfo
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Li, Binghao Surveying &amp Spatial Information Systems Faculty of Engineering UNSW. "Terrestial mobile user positioning using TDOA and fingerprinting techniques." Awarded by:University of New South Wales. School of Surveying and Spatial Information Systems, 2006. http://handle.unsw.edu.au/1959.4/25507.

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Specialists are expecting the knowledge of location will trigger yet another revolution in mobile services. Location-base services (LBS) have attracted many researchers and enterprises and one of the key aspects of LBS is positioning technology. Considering a wider and more complex field - ubiquitous computing, location is the fundamental element. This work focuses on some aspects of the new techniques of terrestrial positioning systems. Wireless LAN is one of the most popular systems used for positioning for indoor environments and public places. We have investigated the trilateration and fi
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KATAYAMA, Masaaki, Takaya YAMAZATO, and Jan Mateusz KIETLINSKI-ZALESKI. "TDoA UWB Positioning with Three Receivers Using Known Indoor Features." IEEE, 2010. http://hdl.handle.net/2237/14480.

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Aktas, Unal. "Time difference of arrival (TDOA) estimation using wavelet based denoising." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA360774.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, March 1999.<br>"March 1999" Thesis advisor(s): David V. Lamm, Michael W. Boudreau. Includes bibliographical references (p. 103-104). Also available online.
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Books on the topic "TDOA"

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Bennett, Granger Hart. Acoustic transient TDOA estimation and discrimination. Naval Postgraduate School, 2000.

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Haney, Timothy N. Generation of Global System for Mobile (GSM) signals and their Time Difference of Arrival (TDOA) estimation. Naval Postgraduate School, 2000.

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G, Glisic Savo, and Leppänen Pentti A, eds. Wireless communications: TDMA versus CDMA. Kluwer Academic Publishers, 1997.

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Glisic, Savo G. Wireless Communications: TDMA versus CDMA. Springer US, 1997.

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Coursey, Cameron. Understanding digital PCS: The TDMA standard. Artech House, 1999.

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Adrian, Smith, and Jacobs Charles A, eds. IS-136 TDMA technology, economics, and services. Artech House, 1998.

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L, Jou, Lenart J, and United States. National Aeronautics and Space Administration., eds. Study of optoelectronic switch for SS-TDMA: Final report. GTE Laboratories Inc., 1989.

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National Institute of Standards and Technology (U.S.), ed. Recommendation for the Triple Data Encryption Algorithm (TDEA) block cipher. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2004.

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Fouad, Abousamra, Baric Ante, Civili Francesco Saverio, United Nations Environment Programme, United Nations Environment Programme. Mediterranean Action Plan., and Global Environment Facility, eds. Transboundary diagnostic analysis, TDA, for the Mediterranean Sea. UNEP/MAP/MED POL, 2005.

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illustrateur, Morin Jean 1959, ed. Le TDA/H raconté aux enfants: J'ai un quoi? Éditions de Mortagne, 2016.

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Book chapters on the topic "TDOA"

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Seong, Nak-Seon, and Seong-Ook Park. "Clock Offsets in TDOA Localization." In Ubiquitous Computing Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890348_9.

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Kistanov, Pavel, Elizaveta Shcherbinina, Alexander Titov, Oleg Tsarik, and Igor Tsikin. "Direct TDOA Based Positioning in Satellite Geolocation." In Springer Proceedings in Physics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58868-7_79.

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Gambi, J. M., M. C. Rodriguez-Teijeiro, and M. L. Garcia del Pino. "The Post-Newtonian Geolocation Problem by TDOA." In Mathematics in Industry. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25100-9_56.

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Liu, Guangzhe, Jingyu Hua, Feng Li, Weidang Lu, and Zhijiang Xu. "A Quadratic Programming Localization Based on TDOA Measurement." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_148.

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Burgess, Simon, Yubin Kuang, Johannes Wendeberg, Kalle Åström, and Christian Schindelhauer. "Minimal Solvers for Unsynchronized TDOA Sensor Network Calibration." In Algorithms for Sensor Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-45346-5_8.

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Lee, S. C., W. R. Lee, and K. H. You. "TDoA Based UAV Localization Using Dual-EKF Algorithm." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10741-2_6.

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Shao, Hongshuo, Dongkyun Kim, and Kwanho You. "TDOA/FDOA Geolocation with Adaptive Extended Kalman Filter." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17625-8_23.

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Li, Wenquan, and Bing Zhao. "Analysis of TDOA Location Algorithm Based on Ultra-Wideband." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_149.

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Li, Peihua, and Xianzhe Ma. "Robust Acoustic Source Localization with TDOA Based RANSAC Algorithm." In Emerging Intelligent Computing Technology and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04070-2_25.

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Zhao, Weibo, Yue Su, Li Zheng, and Fei Ma. "TDOA-Based Autonomous Positioning Method for Smart IoT Services." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2116-0_5.

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Conference papers on the topic "TDOA"

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Richter, Rei, and Yiftach Richter. "Practical Optimization of TDoA Geo-Location." In 2024 IEEE International Conference on Microwaves, Communications, Antennas, Biomedical Engineering and Electronic Systems (COMCAS). IEEE, 2024. http://dx.doi.org/10.1109/comcas58210.2024.10666192.

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Zou, Yanbin, Yangpeng Xiao, Zekai Zhang, and Huaping Liu. "TDOA Localization via Fixed-Point Iteration." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10888067.

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Wang, Yuhong, Yonghong Zeng, Peng Hui Tan, Sumei Sun, and Yugang Ma. "Drone Controller Localization Based on TDoA." In 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025. https://doi.org/10.1109/wcnc61545.2025.10978550.

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Lai, Liping, Zhangmin He, Jiongqi Wang, Xuanying Zhou, and Haiyin Zhou. "Precision Boundary Analysis of TOA and TDOA." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10662168.

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Cao, Jingmin, QUN Wan, Ying Chen, Feng Du, Yang Liu, and Wei Li. "Misspecified CRB for TDOA-based passive localization." In Sixteenth International Conference on Signal Processing Systems (ICSPS 2024), edited by Robert Minasian and Li Chai. SPIE, 2025. https://doi.org/10.1117/12.3061498.

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Zhu, Hongbin. "TDOA Positioning Based on Bayesian Regularization Method." In 2025 5th International Conference on Sensors and Information Technology (ICSI). IEEE, 2025. https://doi.org/10.1109/icsi64877.2025.11009693.

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Feng, Xuefeng, Zhen Huang, Jiazhi He, and Lei Shi. "A Moving Source Localization Method Based on TDOA and TDOA Rate." In 2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2021. http://dx.doi.org/10.1109/icspcc52875.2021.9564741.

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Panetta, Chandler J., Osama N. Ennasr, and Xiaobo Tan. "Distributed Particle Filter With Online Model Learning for Localization Using Time-Difference-of-Arrival (TDOA) Measurements." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3305.

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Abstract The problem of localizing a moving target arises in various forms in wireless sensor networks. Deploying multiple sensing receivers and using the time-difference-of-arrival (TDOA) of the target’s emitted signal is widely considered an effective localization technique. Traditionally, TDOA-based algorithms adopt a centralized approach where all measurements are sent to a predefined reference node for position estimation. More recently, distributed TDOA-based localization algorithms have been shown to improve the robustness of these estimates. For target models governed by highly stochas
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Wendeberg, Johannes, Fabian Hoflinger, Christian Schindelhauer, and Leonard Reindl. "Anchor-free TDOA self-localization." In 2011 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2011. http://dx.doi.org/10.1109/ipin.2011.6071909.

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Bandiera, Francesco, Angelo Coluccia, Giuseppe Ricci, Fabio Ricciato, and Danilo Spano. "TDOA Localization in Asynchronous WSNs." In 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing (EUC). IEEE, 2014. http://dx.doi.org/10.1109/euc.2014.35.

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Reports on the topic "TDOA"

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Fowler, Mark L. Data Compression Trade-Offs for TDOA/FDOA Geo-Location Systems. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada483204.

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Hippenstiel, Ralph D., Timothy Haney, and Tri T. Ha. Improvement of the Time Difference of Arrival (TDOA) Estimation of GSM Signals Using Wavelets. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada380368.

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Hippenstiel, Ralph D., Tri T. Ha, and Unal Aktas. Localization of Wireless Emitters Based on the Time Difference of Arrival (TDOA) and Wavelet Denoising. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada363100.

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Bednar, Amy. Topological data analysis : an overview. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40943.

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A growing area of mathematics topological data analysis (TDA) uses fundamental concepts of topology to analyze complex, high-dimensional data. A topological network represents the data, and the TDA uses the network to analyze the shape of the data and identify features in the network that correspond to patterns in the data. These patterns extract knowledge from the data. TDA provides a framework to advance machine learning’s ability to understand and analyze large, complex data. This paper provides background information about TDA, TDA applications for large data sets, and details related to t
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Arumugam, Mahesh, and Sandeep S. Kulkarni. Self-Stabilizing Deterministic TDMA for Sensor Networks. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada455715.

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Berry, D. A. [TDA`s hot gas desulfurization sorbent]. TDA Inc./FETC CRADA No. 97-F003, final report. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/629371.

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Hoffman, L. G. Technology development, evaluation, and application (TDEA) FY 1997 progress report. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/663508.

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Kulkarni, Sandeep S., and Mahesh Arumugam. Infuse: A TDMA Based Data Dissemination Protocol for Sensor Networks. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada460202.

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Barker, W. C., and E. B. Barker. Recommendation for the triple data encryption algorithm (TDEA) block cipher. National Institute of Standards and Technology, 2012. http://dx.doi.org/10.6028/nist.sp.800-67r1.

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Barker, Elaine, and Nicky Mouha. Recommendation for the Triple Data Encryption Algorithm (TDEA) block cipher. National Institute of Standards and Technology, 2017. http://dx.doi.org/10.6028/nist.sp.800-67r2.

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