The detection performances of MIMO radar can be improved by waveform diversity technology. The waveform diversity gain depends on the correlation side-lobe level of the orthogonal waveform set. Generally, peak side-lobe level (PSL) and integrated side-lobe level (ISL) are two most important performance metrics of the correlation side-lobe level. Few existing orthogonal waveform set design algorithms can minimize PSL and ISL simultaneously. To tackle this problem, this article first proposes a correlation side-lobe performance metric in the form of p-norm, denoted by p-ISL. Then, in order to minimize the p-ISL, this article develops a p-MM algorithm based on majorization–minimization (MM) framework, which transforms the complex p-order polynomial minimization problem into a series of low-order simple optimization problems. Numerical results show that the p-MM algorithm can effectively suppress the correlation side-lobe level and strike a good balance between the PSL and ISL metrics. Compared with the best PSL optimization algorithm based on primal dual method, the p-MM obtains about the same PSL and lower ISL values. Compared with multi-CAN, MM-Corr, ISL-New,and the other state-of-the-art ISL minimization algorithms, the p-MM obtains slightly higher ISL and much lower PSL. Briefly, the p-MM is able to obtain almost the best PSL and relatively low ISL values.
Designing Low Side-Lobe Level-Phase Coded Waveforms for MIMO Radar Using P-Norm Optimization
IEEE Transactions on Aerospace and Electronic Systems ; 59 , 4 ; 3797-3810
2023-08-01
2269398 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Phase-coded waveforms for radar
IEEE | 2007
|CORRESPONDENCE - Phase-Coded Waveforms for Radar
Online Contents | 2007
|Doppler sensitivity of MIMO radar waveforms
IEEE | 2016
|MIMO Radar Waveforms and Cancellation Ratio
IEEE | 2012
|