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Adaptive Waveform Design for Cognitive Radar Tracking in the Presence of Signal-dependent Clutter
Received date: 2013-03-17
Online published: 2025-05-26
In view of how to improve tracking performance by waveform optimization in signal-dependent clutter background, he tracking model was established. The target impulse response was forecasted and filtered by Kalman filter and the optimization goal was designed based on the minimum filtering error. Finally, this problem was analyzed and solved and the results show that in the white noise background, the pseudorandom waveform is proved to be the optimum waveform. Computer simulation results verify the correctness of the theory.
CAO Lei , ZHANG Jianyun , RAN Jinhe , ZHANG Xin . Adaptive Waveform Design for Cognitive Radar Tracking in the Presence of Signal-dependent Clutter[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2013 , 33(6) : 171 -174,178 . DOI: 10.15892/j.cnki.djzdxb.2013.06.052
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