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TDOA-/FDOA-Based Adaptive Active Target Localization Using Iterated Dual-EKF Algorithm
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DOI：10.1109/LCOMM.2019.2899615.png)
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摘要
En 中文
Most geolocation methods use only the time difference of arrival for estimating the emitter's location. In this letter, to obtain the velocity estimate values of an active target, we use the frequency difference of arrival. The iterated dual-extended Kalman filter (EKF) algorithm is used as a geolocation process for a moving emitter. In comparison with the dual-EKF algorithm, the parameter estimation filter's update speed of the iterated dual-EKF algorithm shows a high convergence rate through the iteration process. To verify the performance of the proposed algorithm, simulation results by using the iterated dual-EKF algorithm are presented.
Keyword:
Time difference of arrival
frequency difference of arrival
iterated dual-EKF
localization
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1.3W
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