Results 11 to 20 of about 141 (120)
Fast TDOA and FDOA Estimation for Coherent Pulse Signals
International Journal of Antennas and Propagation, 2022 Time difference of arrival (TDOA) and frequency difference of arrival (FDOA) have been widely used for localizing temporally continuous signals passively.
Yan Liu, Fucheng Guo
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A Novel Joint TDOA/FDOA Passive Localization Scheme Using Interval Intersection Algorithm
Information, 2021 Due to the large measurement error in the practical non-cooperative scene, the passive localization algorithms based on traditional numerical calculation using time difference of arrival (TDOA) and frequency difference of arrival (FDOA) often have no ...
Lingyu Ai +5 more
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Performance Analysis of TDOA and FDOA Estimation for Pulse Signals
International Journal of Antennas and Propagation, 2022 Time difference of arrival (TDOA) and frequency difference of arrival (FDOA) are effective measurements for localizing emitters’ radiating pulse signals, such as radar.
Yan Liu, Fucheng Guo
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IET Radar, Sonar &Navigation, Volume 17, Issue 10, Page 1498-1506, October 2023., 2023 Based on the time difference direction‐finding algorithm, new mathematical expressions of geometric dilution of precision (GDOP) are presented in Time Difference of Arrival positioning systems in this paper. The time difference direction‐finding reveals that the angle measurements are accurate for any length of baseline.
Yang Bai +3 more
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Space Weather, Volume 21, Issue 6, June 2023., 2023 Abstract This manuscript presents the analysis of data from multiple ground‐ and space‐based sensors in the North American region before, during, and after the 12 October 2021 geomagnetic storm. Total electron content (TEC) and electron density data show the formation and equatorward propagation of a mid‐latitude trough at ∼50°N followed by the ...
J. F. Helmboldt
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IET Signal Processing, Volume 17, Issue 2, February 2023., 2023 The prior information carried by the known waveform of the reference signal to reduce the negative impact of random noise is exploited, and a coherent and an incoherent method is proposed to estimate the TDOA and FDOA parameters between two moving receivers.
Yan Liu, Yi Zhu, Yuan Zhang, Fucheng Guo
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Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
IET Radar, Sonar & Navigation, 2021 This study addresses a signal processing technique in a search and rescue system. An international disaster rescue communications support programme such as COSPAS‐ search and rescue satellite‐aided tracking (SARSAT) estimates the position of a beacon ...
Jung‐Hoon Lee +3 more
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IET Signal Processing, Volume 16, Issue 8, Page 1002-1010, October 2022., 2022 Abstract Multidimensional scaling (MDS) is an attractive technique for a moving source localisation from time and frequency difference of arrival (time differences of arrival (TDOA)/frequency differences of arrival (FDOA)) measurements. However, its optimality has not yet been proven theoretically because of the difficult Moore–Penrose pesudo‐inverse ...
He‐Wen Wei, Fei Wen, Jian Cheng
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Joint localization algorithm of TDOA and FDOA considering the position error of underwater sensors
IET Radar, Sonar &Navigation, Volume 16, Issue 9, Page 1434-1445, September 2022., 2022 Abstract The joint localization method of TDOA and FDOA is widely used because it can estimate the underwater moving source well. Usually, a two‐step weighted least squares (TSWLS) algorithm is used to estimate the source. However, the noise square term is always neglected in the TSWLS algorithm.
Tianci Meng, Zhenkai Zhang, Yunhang Lin
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A deep learning algorithm for joint direct tracking and classification of manoeuvring sources
IET Radar, Sonar &Navigation, Volume 16, Issue 7, Page 1198-1211, July 2022., 2022 Abstract The remarkable success of deep learning technologies has provided new ideas for solving complex tracking problems. It is difficult for traditional algorithms to directly estimate the trajectory vector and target class from the received signal due to the limitation of modelling ability, which causes inevitable information loss.
Wanting Yu +4 more
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