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Recently, the knowledge-based clutter covariance estimate methods are developed to improve the convergence rate. In this paper, the relationship between some widely-used knowledge-based methods and the traditional reduced-order methods are established. It is found that the colored loading (CL) is equivalent to the pre-whitened diagonal loading (DL), and the fast maximum likelihood with assumed clutter...
The framework of estimating the clutter rank of multi-dimensional sparse array radar is presented in this paper. The whole array is first divided into several sub-arrays according to the Nyquist interval, and then the number of degree of freedom (NDOF) estimate theory is employed to estimate the clutter rank in each sub-array. Finally, the clutter rank of the overall system is obtained by adding them...
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