Polarimetric radar is significant in radar signal processing to improve the detection performance. The research and development of target detection methods in multi-polarization channels have positive significance in complicated marine environments. In this paper, we present the problem of polarization diversity detection in compound Gaussian sea clutter with inverse Gamma texture. In this respect, a fusion detector using HH and HV dual-polarization data is proposed to detect targets in the compound-Gaussian clutter with inverse Gamma texture. On the basis of the shape parameter matched MTD detector, the test statistics of different channels are weighted and fused by using the signal-to-clutter ratio information of sea clutter. In this way, a new detector is obtained. Thresholds of the detector are calculated by Monte Carlo experiments. Numerical results of real measured radar data show that the proposed detector outperforms its competitors.
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Duan et al. (2024) studied this question.
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