An improved dual-threshold generalized likelihood ratio test range-spread target detector

Xinrong Xu; Weixing Sheng; Renli Zhang; Xiaoyu Cong

doi:10.1117/12.3057716

3 January 2025 An improved dual-threshold generalized likelihood ratio test range-spread target detector

Xinrong Xu, Weixing Sheng, Renli Zhang, Xiaoyu Cong

Author Affiliations +

Proceedings Volume 13519, Third International Conference on Communications, Information System, and Data Science (CISDS 2024); 1351903 (2025) https://doi.org/10.1117/12.3057716
Event: Third International Conference on Communications, Information System and Data Science 2024, 2024, Nanjing, China

Abstract

Currently, high-resolution radar is increasingly widely used for target detection. However, the higher range resolution causes the target energy to be dispersed over multiple range cells, creating the range-spread targets rather than the point targets, which leads to a degradation of the detection capability of traditional point-target detection methods. In this paper, an improved dual-threshold generalized likelihood ratio test detector is proposed for high-resolution radar. The concept of the “effective scatterer” is introduced to extract the strong scatterer cells of the targets. Then the Lilliefors test is adopted for pre-judgement and based on the pre-judgement result, the calculation of the first threshold and the second threshold is optimized so that the proposed detector can improve the detection performance at a constant false alarm rate. The simulation results show that the proposed detector outperforms traditional detection methods for range-spread targets.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinrong Xu, Weixing Sheng, Renli Zhang, and Xiaoyu Cong "An improved dual-threshold generalized likelihood ratio test range-spread target detector", Proc. SPIE 13519, Third International Conference on Communications, Information System, and Data Science (CISDS 2024), 1351903 (3 January 2025); https://doi.org/10.1117/12.3057716

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