Adaptive CFAR detector based on CA/GO/OS three-dimensional fusion

Tianci Qin; Zhongxun Wang; Yong Huang; Zheng Xie

doi:10.1117/12.3022697

28 March 2024 Adaptive CFAR detector based on CA/GO/OS three-dimensional fusion

Tianci Qin, Zhongxun Wang, Yong Huang, Zheng Xie

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 1309111 (2024) https://doi.org/10.1117/12.3022697
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

A new adaptive CFAR (Constant False Alarm Rate) detector based on CA/GO/OS three-dimensional fusion is proposed in this paper. The detector integrates the best detection performance of CA-CFAR, GO-CFAR and OS-CFAR in homogeneous environment, clutter edge environment and multi-target environment respectively, and uses the convex hull learning algorithm to use the decision convex hull for target detection in three-dimensional space. Through detailed simulation analysis in homogeneous environment, multi-target environment, clutter edge environment, multi-target and clutter edge simultaneous environment, it is proved that the detection performance of the CFAR detector in different environments has maintained a very high level and has a good ability to adapt to clutter environment.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tianci Qin, Zhongxun Wang, Yong Huang, and Zheng Xie "Adaptive CFAR detector based on CA/GO/OS three-dimensional fusion", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 1309111 (28 March 2024); https://doi.org/10.1117/12.3022697

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