Adaptive polarimetric detection method for target in partially homogeneous background

In this paper, the problem of enhancing the detection performance of detector for target in partially homogeneous background is addressed. Based on a general measurement model, a new constant false alarm rate (CFAR) adaptive matched detector (AMD) is proposed through a two-step design procedure. The detection performance of the AMD is theoretically analyzed. Then, the correctness of the analytical results and the effectiveness of the AMD are validated through numerical experiments and IPIX radar data. To further improve the detection performance of AMD, optimal polarimetric waveform design is approached. The waveform is designed by optimally selecting the transmitted polarization that maximizes a non-central parameter of the detection probability. Numerical experiments are provided to validate the performance improvement by comparing the optimal AMD with the optimal adaptive subspace detector (ASD) and the fixed AMDs. Comparison results show that a gain of 1-5dB is obtained by the optimal AMD. HighlightsThis paper researches the target detection problem in partially homogeneous background.A CFAR adaptive matched detector (AMD) is proposed to improve the detection performance.The theoretical analyses of the AMD prove that the AMD is high efficiency and can be adapted to a wider target detection filed.The optimal polarimetric waveform design scheme based on the AMD is addressed which improves the detection performance.

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