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

Journal Article


Abstract


  • 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.

Publication Date


  • 2020

Citation


  • Gao, W., Li, J., Zhang, D., & Guo, Q. (2020). Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors. International Journal of Antennas and Propagation, 2020. doi:10.1155/2020/2304913

Scopus Eid


  • 2-s2.0-85081167677

Volume


  • 2020

Abstract


  • 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.

Publication Date


  • 2020

Citation


  • Gao, W., Li, J., Zhang, D., & Guo, Q. (2020). Sparsity-Based Robust Bistatic MIMO Radar Imaging in the Presence of Array Errors. International Journal of Antennas and Propagation, 2020. doi:10.1155/2020/2304913

Scopus Eid


  • 2-s2.0-85081167677

Volume


  • 2020