Radar signal processing based on Sparse Fast Fourier Transform

Xiaojuan Bai; Hao Tian; Lu Guan

doi:10.1117/12.2622865

1 December 2021 Radar signal processing based on Sparse Fast Fourier Transform

Xiaojuan Bai, Hao Tian, Lu Guan

Proceedings Volume 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering; 120792N (2021) https://doi.org/10.1117/12.2622865
Event: 2nd IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 2021, Xi'an, China

Abstract

The target detection capability of radar has always been one of the key contents of radar research. The rapid development of radar and other fields in recent years has made it difficult for the FFT algorithm to meet the real-time requirements of data processing. Sparse Fast Fourier Transform (SFFT) is a feature based on sparse signal frequency domain. For some sparse signals, SFFT algorithm has shorter operation time and faster speed than FFT algorithm. This paper uses the constant false alarm algorithm for target detection, and compares and analyzes the time complexity and signal processing efficiency of the SFFT algorithm and the traditional MTD method. The analysis of the detection results shows that the algorithm in this paper has better detection performance and higher computing efficiency.

Citation Download Citation

Xiaojuan Bai, Hao Tian, and Lu Guan "Radar signal processing based on Sparse Fast Fourier Transform", Proc. SPIE 12079, Second IYSF Academic Symposium on Artificial Intelligence and Computer Engineering, 120792N (1 December 2021); https://doi.org/10.1117/12.2622865

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