Ambiguity function shaping for cognitive MCPC radar

Tan, Jianguo; Wang, Jingqi; Tian, Yurou; Xue, Wei; Wu, Wen

doi:10.1109/ispacs.2017.8266509

Cited by 3 publications

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

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

Zhang,

Pei,

Zhang

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

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

show abstract