This article focuses on the joint design of transmit waveforms and receive filters for airborne multiple-input–multiple-output radar systems in spectrally crowded environments. The purpose is to maximize the output signal-to-interference-plus-noise-ratio in the presence of signal-dependent clutter. To improve the practicability of the radar waveforms, both a multispectral constraint and a peak-to-average-power ratio constraint are imposed. A cyclic method is derived to iteratively optimize the transmit waveforms and receive filters. In particular, to tackle the encountered nonconvex constrained fractional programming in designing the waveforms (for fixed filters), we resort to the Dinkelbach's transform, minorization–maximization, and leverage the alternating direction method of multipliers. We highlight that the proposed algorithm can iterate from an infeasible initial point and the waveforms at convergence not only satisfy the stringent constraints, but also attain superior performance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multispectrally Constrained Low-PAPR Waveform Optimization for MIMO Radar Space-Time Adaptive Processing


    Contributors:
    Li, Da (author) / Tang, Bo (author) / Xue, Lei (author)


    Publication date :

    2023-10-01


    Size :

    5140229 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Adaptive Distributed MIMO Radar Waveform Optimization Based on Mutual Information

    Yifan Chen, / Nijsure, Y. / Chau Yuen, et al. | IEEE | 2013


    Slow-Time FDA-MIMO Radar Space-Time Adaptive Processing

    Wen, Cai / Wang, Lin / Huang, Yan | IEEE | 2020


    Constrained Waveform Design for Colocated MIMO Radar With Uncertain Steering Matrices

    Yu, Xianxiang / Cui, Guolong / Kong, Lingjiang et al. | IEEE | 2019


    Multi-Waveform Space-Time Adaptive Processing

    Blunt, Shannon D. / Metcalf, Justin / Jakabosky, John et al. | IEEE | 2017


    Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection

    Thornton, Charles E. / Buehrer, R. Michael / Martone, Anthony F. | IEEE | 2022