Adaptive Double Threshold Detection Method for Range-Spread Targets

Xinliang Chen; Jiyu Gai; Zhennan Liang; Quanhua Liu; Teng Long

doi:10.1109/LSP.2021.3129981

Adaptive Double Threshold Detection Method for Range-Spread Targets

Xinliang Chen, Jiyu Gai, Zhennan Liang^*, Quanhua Liu, Teng Long

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

The performance of wideband radar detectors can be further improved if the features of a target's high-resolution range profile (HRRP) are fully utilized. In this paper, a target adaptive double threshold detection method is proposed. First, the amplitude distribution parameters of the HRRP's range cells are extracted for data generation, and the detection probability is statistically calculated. The online gradient descent method is then used to adaptively adjust the second thresholds of the double threshold detector, thereby improving the detection performance with a given constant false alarm rate. The effectiveness of the proposed algorithm is verified using two sets of measured data. The proposed algorithm exhibits superior detection performance compared to traditional detection algorithms for range-spread targets.

Original language	English
Pages (from-to)	254-258
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	29
DOIs	https://doi.org/10.1109/LSP.2021.3129981
Publication status	Published - 2022

Keywords

Double threshold detector
online gradient descent method
range-spread target

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10.1109/LSP.2021.3129981

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Chen, X., Gai, J., Liang, Z., Liu, Q., & Long, T. (2022). Adaptive Double Threshold Detection Method for Range-Spread Targets. IEEE Signal Processing Letters, 29, 254-258. https://doi.org/10.1109/LSP.2021.3129981

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abstract = "The performance of wideband radar detectors can be further improved if the features of a target's high-resolution range profile (HRRP) are fully utilized. In this paper, a target adaptive double threshold detection method is proposed. First, the amplitude distribution parameters of the HRRP's range cells are extracted for data generation, and the detection probability is statistically calculated. The online gradient descent method is then used to adaptively adjust the second thresholds of the double threshold detector, thereby improving the detection performance with a given constant false alarm rate. The effectiveness of the proposed algorithm is verified using two sets of measured data. The proposed algorithm exhibits superior detection performance compared to traditional detection algorithms for range-spread targets.",

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AU - Liu, Quanhua

AU - Long, Teng

PY - 2022

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AB - The performance of wideband radar detectors can be further improved if the features of a target's high-resolution range profile (HRRP) are fully utilized. In this paper, a target adaptive double threshold detection method is proposed. First, the amplitude distribution parameters of the HRRP's range cells are extracted for data generation, and the detection probability is statistically calculated. The online gradient descent method is then used to adaptively adjust the second thresholds of the double threshold detector, thereby improving the detection performance with a given constant false alarm rate. The effectiveness of the proposed algorithm is verified using two sets of measured data. The proposed algorithm exhibits superior detection performance compared to traditional detection algorithms for range-spread targets.

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KW - online gradient descent method

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JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

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Adaptive Double Threshold Detection Method for Range-Spread Targets

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Keywords

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