Paper
2 May 2023 MIMO radar imaging based on improved smoothed L0 norm sparse signal recovery algorithm
Junjie Feng, Qianmei Zhao
Author Affiliations +
Proceedings Volume 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023); 126421S (2023) https://doi.org/10.1117/12.2674785
Event: Second International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT 2023), 2023, Xishuangbanna, China
Abstract
Sparse signal recovery algorithms can be used to improve image quality of target with sparse property in spatial domain. In order to improve the imaging quality of MIMO Radar, an improved smoothed L0 norm (SL0) sparse signal recovery algorithm is proposed in the paper. Firstly, the sparse imaging model of MIMO radar is established, the imaging problem is transformed into the optimization problem of minimum L0 norm; Then a negative exponential function is proposed as smoothed function to approximate the L0 norm. Finally, a comparison correction step is added to ensure that the search direction follows the fastest descent direction and the gradient projection algorithm is used to obtain target image. Simulation results show that MIMO radar imaging quality obtained by the proposed algorithm has great improvement compared to several popular algorithms.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Junjie Feng and Qianmei Zhao "MIMO radar imaging based on improved smoothed L0 norm sparse signal recovery algorithm", Proc. SPIE 12642, Second International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2023), 126421S (2 May 2023); https://doi.org/10.1117/12.2674785
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KEYWORDS
Multiple input multiple output

Radar imaging

Detection and tracking algorithms

Antennas

Radar

Radar signal processing

Matrices

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