基于L-BFGS的认知雷达区域叠加模糊函数抑制波形设计OA

Aimed at the problem of the degradation of target detection performance in cognitive radar caused by strong interference from the neighborhood,a constant modulus waveform design method based on regional su-perimposed ambiguity function suppression is proposed.First,the detection center and its neighborhood are de-fined as a protected region,and a model is established of superimposed leakage from multiple strong interference sources to the protected region through the sidelobes of ambiguity functions.Then,a high-order norm is adopted to construct the regional leakage suppression criterion,and the constant modulus waveform is solved by using the phase-domain limited-memory Broyden-Fletcher-Goldfarb-Shanno(L-BFGS)algorithm.Simulation results show that,the proposed method reduces the average leakage level in the protected region,improves the output sig-nal-to-interference-plus-noise ratio,and also provides a good neighborhood anti-interference performance when target location exists estimation errors or range-Doppler grid mismatch.