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Adaptive Double Threshold Detection Method for Range-Spread Targets
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DOI：10.1109/LSP.2021.3129981.png)
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摘要
En 中文
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.
Keyword:
Detectors
Optimization
Probability
Mathematical models
Gamma distribution
Clutter
Signal processing algorithms
Double threshold detector
online gradient descent method
range-spread target