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For the moving target detection with space-time adaptive processing (STAP), the non- homogeneity will cause the covariance matrix estimation error, which substantially results in the STAP performance degradation. Diagonal loading has long been 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...
For the pattern synthesis method of the arbitrary array antenna with the linearly constraint minimum variance criterion (LCMV-PS), the primary disadvantage is its poor adaptability, namely its performance is determined by the iterative coefficient. In order to improve its performance, the effect of the relative amplitude between synthesis pattern and its reference upon the pattern synthesis is considered...
Synthetic aperture radar (SAR) systems have become an important tool for fine-resolution mapping and other remote sensing operations. The multi-channel SAR ground moving-target indication (GMTI) must process its data to produce not only the image of surveillance area but also the information of the ground moving-targets. The topic of moving-target detection in clutter has been extensively studied,...
The topic of moving-target detection in clutter has been extensively studied, there are many methods, such as along-track interferometric (ATI) phase, displaced phase center antenna (DPCA) method, space-time adaptive processing (STAP), or some other metrics. A canonical framework is proposed that encompasses ATI and DPCA. The statistical test metric for ATI and DPCA is established in an simple form,...
A fast algorithm for the root-MUSIC with real-valued eigendecomposition is considered. This algorithm reduces the computational complexity in the eigenanalysis stage of root-MUSIC because it exploits the eigendecomposition of a real-valued covariance matrix. The asymptotic performance of root-MUSIC with real-valued eigendecomposition (RVED-root-MUSIC) is analyzed and compared with that of conventional...
Real-value space ESPRIT (RVS-ESPRIT) algorithm transforms complex data into real data, via constructing real-value transformation, so as to reduce computation, through rearranging data and forward-backward averaging improves the performance and precision of estimating parameter. This paper analyses the rotational invariance principle of RVS-ESPRIT algorithm, the relationship between RVS-ESPRIT and...
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