Forward-looking imaging method of array radar scanning based on compressed sensing

Chen-Yang Fan; Si-san He; Qian Guo

doi:10.1117/12.2624909

6 December 2021 Forward-looking imaging method of array radar scanning based on compressed sensing

Chen-Yang Fan, Si-san He, Qian Guo

Proceedings Volume 12085, International Conference on Green Communication, Network, and Internet of Things (GCNIoT 2021); 1208503 (2021) https://doi.org/10.1117/12.2624909
Event: 2021 International Conference on Green Communication, Network, and Internet of Things, 2021, Kunming, China

Abstract

Azimuth super-resolution is generally realized by real beam scanning deconvolution and array antenna super-resolution algorithms, especially by using amplitude envelope or phase information. Aiming at the situation that echo information is not fully utilized, this paper proposes a forward looking imaging method of array radar scanning based on compressed sensing, combining the real beam scanning by transmitter and the echo receiving by array antenna. Under the condition of sparse scene, the range dimension super-resolution is achieved by pulse compression, and the azimuth direction complex observation matrix is constructed based on the array antenna echo model, and the super-resolution is achieved by improved L1 norm smoothing approximation algorithm. The 2d super-resolution imaging simulation results show that the proposed method can effectively improve the performance.

Citation Download Citation

Chen-Yang Fan, Si-san He, and Qian Guo "Forward-looking imaging method of array radar scanning based on compressed sensing", Proc. SPIE 12085, International Conference on Green Communication, Network, and Internet of Things (GCNIoT 2021), 1208503 (6 December 2021); https://doi.org/10.1117/12.2624909

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