University of Wollongong
Browse

Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors

Download (521.16 kB)
journal contribution
posted on 2024-11-15, 22:38 authored by Wenyu Gao, Jun Li, Daming Zhang, Qinghua GuoQinghua Guo
© 2020 Wenyu Gao et al. A sparse recovery method for robust transmit-receive angle imaging in a bistatic MIMO radar is proposed to deal with the effect of array gain-phase errors. The impact of multiplicative array gain-phase errors is changed to be additive through model reformulation, and transmit-receive angle imaging is formulated to a sparse total least square signal problem. Then, an iterative algorithm is proposed to solve the optimization problem. Compared with existing methods, the proposed method can achieve a significant performance gain in the case that the number of snapshots is small. Simulation results verify the effectiveness of the proposed method.

History

Citation

W. Gao, J. Li, D. Zhang & Q. Guo, "Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors," International Journal of Antennas and Propagation, vol. 2020, 2020.

Language

English

RIS ID

142066

Usage metrics

    Categories

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC