In this paper, a Block Iterative Method with Adaptive Thresholding for Sparse Recovery (BIMATSR) is proposed to recover the received signal in an under-sampled distributed multiple-input multiple-output radar. The BIMATSR scheme induces block sparsity with the aid of a signal-dependent thresholding operator which increases the accuracy of the target parameter estimation task. We have proved that under some sufficient conditions, the suggested scheme converges to a stable solution. Moreover, different simulation scenarios confirm that the BIMATSR algorithm outperforms its counterparts in terms of the target parameter estimation. This superiority is achieved at the expense of slightly more computational complexity. It is also shown that in this application, random sampling scheme offers better performance than random Gaussian matrix, while it has simpler structure.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Adaptive Iterative Thresholding Algorithm for Distributed MIMO Radars


    Contributors:


    Publication date :

    2019-04-01


    Size :

    2719868 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Beam Scheduling for Early Warning With Distributed MIMO Radars

    Luo, Dengsanlang / Wen, Gongjian / Liang, Yuanyuan et al. | IEEE | 2023


    Training-Based Adaptive Transmit–Receive Beamforming for MIMO Radars

    Shaghaghi, Mahdi / Adve, Raviraj S. / Shehata, George | IEEE | 2017


    Waveform Design for MIMO Radars

    Friedlander, B. | IEEE | 2007


    Joint Placement of Transmitters and Receivers for Distributed MIMO Radars

    Jianxin Yi / Xianrong Wan / Leung, Henry et al. | IEEE | 2017


    Regularization of an Iterative Phase-Correction Algorithm for Synthetic-Aperture Radars

    Serafimovich, P. G. / Kotlyar, V. V. | British Library Online Contents | 1996