Spectrally Compatible Waveform Design for MIMO Radar Transmit Beampattern with Par and Similarity Constraints
Ziyang Cheng, Zishu He, Min Fang, Jun Li, Julan Xie
Abstract
This paper investigates the problem of the spectrally compatible waveform design for multiple-in multiple-out (MIMO) radar transmit beampattern formation, subject to peak-to-average-power ratio (PAR) and waveform similarity constraints. Since the formulated optimization problem of minimizing the Integrate Sidelobe Level (ISL) and the waveform energy of the stop-band frequencies is NP-hard, an auxiliary variable is first introduced to modify the non-convex problem into a bi-quasiconvex problem, and then the approximated alternating directions method of multipliers (A-ADMM) algorithm is proposed to tackle the resulting bi-quasiconvex problem. Finally, numerical results are presented to evaluate the effectiveness of the proposed algorithm.
BibTeX
@inproceedings{icassp2018_spectrallycompat,
title = {Spectrally Compatible Waveform Design for MIMO Radar Transmit Beampattern with Par and Similarity Constraints},
author = {Ziyang Cheng and Zishu He and Min Fang and Jun Li and Julan Xie},
booktitle = {ICASSP 2018},
year = {2018}
}