A radar data fusion method based on sparse component analysis

Tao Zhao; Qingtan Sun; Sihui Wang; Chunzhu Dong; Xuan Chen

doi:10.1117/12.2552358

31 January 2020 A radar data fusion method based on sparse component analysis

Tao Zhao, Qingtan Sun, Sihui Wang, Chunzhu Dong, Xuan Chen

Proceedings Volume 11427, Second Target Recognition and Artificial Intelligence Summit Forum; 114272J (2020) https://doi.org/10.1117/12.2552358
Event: Second Target Recognition and Artificial Intelligence Summit Forum, 2019, Changchun, China

Abstract

Aiming at the need of multi-radar multi-view wide-band data fusion to improve imaging resolution, a data correlation and sparse component analysis method is proposed to analyze and coherently process multi-view multi-band broadband data in a small angle. The target characteristics of more viewing angles within the small angle range improve the target two-dimensional imaging quality. The simulation experiment analyzes the error of wideband data reconstruction and verifies the correctness and effectiveness of the data fusion method.

Citation Download Citation

Tao Zhao, Qingtan Sun, Sihui Wang, Chunzhu Dong, and Xuan Chen "A radar data fusion method based on sparse component analysis", Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114272J (31 January 2020); https://doi.org/10.1117/12.2552358

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