海杂波背景下的双极化最大特征值目标检测

doi:10.12305/j.issn.1001-506X.2024.11.13

Abstract

Abstract:

Due to the existing matrix constant false alarm rate (CFAR) detectors only processing single polarized echoes and their high computational complexity, the use of correlation information is insufficient and the detection scenario is limited. In this regard, a detection method based on the maximum eigenvalue of dual polarization is proposed, which utilizes the covariance matrix of dual polarization radar echoes to measure the correlation between echoes by extracting their eigenvalues and has lower computational complexity. Firstly, the feasibility of using the maximum eigenvalue as the geometric distance for detection is derived. Furthermore, a matrix CFAR detector based on dual polarization maximum eigenvalue is designed for practical use in real-world scenarios. Finally, the actual detection capability of the proposed method is verified through measured sea clutter data. Simulation results show that the proposed method has better clutter suppression performance and detection performance compared to the maximum eigenvalue matrix measurement algorithm, which also uses the maximum eigenvalue as the detection statistic. The detection performance is also better than the non coherent accumulation cell-averaging CFAR detection method.

Key words: sea clutter, target detection, eigenvalue, dual polarization

CLC Number:

TN957.51

Jian GUAN, Xingyu JIANG, Ningbo LIU, Hao DING, Yong HUANG. Dual-polarized maximum eigenvalue-based target detection in sea clutter environment[J]. Systems Engineering and Electronics, 2024, 46(11): 3715-3725.

Figures/Tables 17

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方法	几何距离	均值矩阵
MEMD	$d_{\operatorname{MEMD}}\left(\lambda_{\max }^{(i)}, \lambda_{\max }^{\mathrm{D}}\right)=\frac{\lambda_{\max }^{\mathrm{D}}}{\frac{1}{N} \sum\limits_{i=1}^N \lambda_{\max }^{(i)}}$	-
LE	$\begin{gathered}d_{\mathrm{LE}}\left(\hat{\boldsymbol{R}}, \boldsymbol{R}_{\mathrm{D}}\right)= \\\left\\|\log _2(\hat{\boldsymbol{R}})-\log _2\left(\boldsymbol{R}_{\mathrm{D}}\right)\right\\|_{\mathrm{F}}\end{gathered}$	$\hat{\boldsymbol{R}}=\exp \left(\frac{1}{N} \sum\limits_{i=1}^N \log _2\left(\boldsymbol{R}_i\right)\right)$
LD	$\begin{gathered}d_{\mathrm{LD}}\left(\hat{\boldsymbol{R}}, \boldsymbol{R}_{\mathrm{D}}\right)= \\\operatorname{tr}\left(\boldsymbol{R}_{\mathrm{D}}^{-1}\left(\hat{\boldsymbol{R}} \boldsymbol{R}_{\mathrm{D}}\right)\right)-\log _2 \operatorname{det}\left(\hat{\boldsymbol{R}} \boldsymbol{R}_{\mathrm{D}}^{-1}\right)\end{gathered}$	$\hat{\boldsymbol{R}}=\left(\frac{1}{N} \sum\limits_{i=1}^N \boldsymbol{R}_i^{-1}\right)^{-1}$

方法	计算复杂度
DMED	(N+1)M³+N
MEMD	(N+1)M³+N
LE	M!+(N+3)M³+(N+1)M²+M
LD	M³+(N+2)M²+2M－1

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Dual-polarized maximum eigenvalue-based target detection in sea clutter environment

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