Slow-Time Ambiguity Function Shaping with Spectral Coexistence for Cognitive Radar

In the spectrum-congested environment, weak target obscuration can be addressed by simultaneously shaping ambiguity function and waveform spectrum based on cognitive radar a priori information. this paper, we investigate joint design to suppress slow-time (STAF) disturbance power overlapping frequency band energy. Thus, novel criterion involving minimizing interested range-Doppler blocks of STAF energy density (ESD) stopband is constructed, which subject peak-to-average ratio (PAR) constraints. To cope with resulting complex quartic optimization problem, approach proposed utilizes iterative sequential (ISQO) algorithm framework obtain closed-form solution at each iteration. Finally, designed waveforms block level while satisfying spectral coexistence requirements. Numerical simulation results verify that method has higher suppression performance than state-of-the-art methods. Meanwhile, also possesses ability reject narrow-band interference.