Adaptive Sparse Recovery of Moving Targets for Distributed MIMO Radar

Abstract:

The high resolution and better recovery performance with distributed MIMO radar would be significantly degraded when the target moves at an unknown velocity. In this paper, we propose an adaptive sparse recovery algorithm for moving target imaging to estimate the velocity and image jointly with high computation efficiency. With an iteration mechanism, the proposed method updates the image and estimates the velocity alternately by sequentially minimizing the norm and the recovery error. Numerical simulations are carried out to demonstrate that the proposed algorithm can retrieve high-resolution image and accurate velocity simultaneously even in low SNR.

• Periodical: Advanced Materials Research (Volume 933)
• Pages: 450-455
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.933.450
• Online since: May 2014
• Authors: Hui Yu*, Guang Hua Lu, Hai Long Zhang
• Keywords: Adaptive Sparse Recovery, Distributed Multiple-Input Multiple-Output (MIMO) Radar, FOCal Underdetermined System Solver (FOCUSS), Moving Target Imaging

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