Results 11 to 20 of about 527 (159)
Performance Analysis of TDOA and FDOA Estimation for Pulse Signals
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
doaj +1 more source
A Multi-Pulse Cross Ambiguity Function for the Wideband TDOA and FDOA to Locate an Emitter Passively
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.
Yuqi Wang +5 more
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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
wiley +1 more source
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
wiley +1 more source
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
wiley +1 more source
Improved position estimation method for locating an encrypted COSPAS‐SARSAT beacon
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
doaj +1 more source
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
wiley +1 more source
Joint localization algorithm of TDOA and FDOA considering the position error of underwater sensors
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
wiley +1 more source
A deep learning algorithm for joint direct tracking and classification of manoeuvring sources
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
wiley +1 more source
Optimal Sensor Deployment and Velocity Configuration With Hybrid TDOA and FDOA Measurements
Source localization based on the hybrid time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements from distributed sensors is an essential problem in wireless sensor networks (WSNs).
Weijia Wang +4 more
doaj +1 more source

