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Improving the STAP Performance via Diagonal Loading |
Liu Cong-feng; Liao Gui-sheng |
National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China |
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Abstract Space-Time Adaptive Processing (STAP) is a key technology for moving target detection, but nonhomogeneity will cause the covariance matrix estimation error, which substantially results in the STAP performance degradation. Diagonal loading is used as a means to improve the robustness of the spatial filter against mismatches in both the desired spatial signature and the spatial correlation matrix. In this paper, we consider the diagonal loading is applied to the case of covariance matrix mismatch (statistical mismatch) for STAP, i.e. when there is a mismatch between the actual covariance matrix of interest and the presumed one. The selecting method of the loading level is given, and the particular performance analysis indicates that the rational diagonal loading can improve the detection probability and the output signal-to-noise ratio. Numerical simulations attest the validity of the analysis.
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Received: 26 March 2007
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