Target sparse reconstruction algorithm of frequency agile radar based on CUDA

Gu Hao; Chao-yang Xu; Qianyuan Tian

doi:10.1117/12.2652214

10 November 2022 Target sparse reconstruction algorithm of frequency agile radar based on CUDA

Gu Hao, Chao-yang Xu, Qianyuan Tian

Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123314E (2022) https://doi.org/10.1117/12.2652214
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China

Abstract

Coherent frequency agile radar has a strong anti-jamming ability, but it may encounter difficulty in computational effort while reconstructing target using compressed sensing. In this paper, an acceleration method and implementation of Orthogonal Matching Pursuit algorithm (OMP) based on CUDA are developed to meet the needs of real-time application of sparse reconstruction algorithm of coherent frequency agile radar target. The algorithms are tested on a computer with a NVIDIA Rtx2070 Super GPU and an Inter-i5-10400f CPU. Computational results indicate that the proposed parallelization method has a good acceleration effect on compressed sensing reconstruction calculation.

Citation Download Citation

Gu Hao, Chao-yang Xu, and Qianyuan Tian "Target sparse reconstruction algorithm of frequency agile radar based on CUDA", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123314E (10 November 2022); https://doi.org/10.1117/12.2652214

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