Multifrequency Coherent Integration Target Detection Algorithm for Passive Bistatic Radar

In this article, the possibility of improving target detection performance in passive bistatic radar by jointly exploiting multiple signals at different carrier frequencies emitted by the same illuminator is investigated, namely multifrequency passive bistatic radar (MFPBR) coherent integration. Since the carrier frequency of each signal is agile, the MFPBR coherent integration suffers from the problems of range-phase incoherence and Doppler broadening. In order to tackle these challenges, a multifrequency coherent integration target detection algorithm for passive bistatic radar is proposed. Specifically, this scheme corrects the Doppler broadening effect via time stretch processing. Then, low-sidelobe filtering based on convex optimization is carried out to remove the range-phase incoherence and obtain the multifrequency (MF) of the target's energy. Meanwhile, the high-range-resolution profiles of the target can be generated. The advantage of the proposed algorithm is that it can obtain superior coherent integration and detection performance for both single and multiple target scenarios compared to existing methods. Finally, a series of measured and simulation results are presented to demonstrate the effectiveness of the proposed algorithm.