Paper
1 December 2023 Multiple switching CFAR detector in non-homogeneous environments
Guiru Liu, Xingyu Mao, Lulin Wang, Zheng Wang
Author Affiliations +
Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 1294026 (2023) https://doi.org/10.1117/12.3010796
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China
Abstract
In order to solve the problem that the detection performance of the radar target detector decreases badly in non-homogeneous environments. Based on the actual echo clutter distribution, a Multiple Switching CFAR detector (MS-CFAR) is proposed. Firstly, the maximum reference units in the left and right reference sub windows are removed by censoring threshold. Then, compare the number of remaining reference cells in the left and right reference windows and variation index with the corresponding threshold respectively, and select the appropriate reference cells to accurately estimate the background noise power. Compared with the simulation and analysis results of other detectors, the proposed detector had the best detection performance and stability in multi-interfering targets, clutter edge and other non-homogenous environments. The results show that the proposed detector still has a good detection performance in non-homogeneous environments.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Guiru Liu, Xingyu Mao, Lulin Wang, and Zheng Wang "Multiple switching CFAR detector in non-homogeneous environments", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 1294026 (1 December 2023); https://doi.org/10.1117/12.3010796
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KEYWORDS
Windows

Environmental sensing

Target detection

Clutter

Background noise

Detection and tracking algorithms

Switching

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