Adaptive Detection Scheme with Discrete Walsh Transformation

摘要

In this paper, we present an adaptive detector of coherent pulse trains embedded in a Gaussian clutter, whose covariance matrix is a block circulant one. We demonstrate that estimation of the structure of a clutter covariance matrix can be reduced to the estimation of a proper block circulant matrix, which in turn can be efficiently obtained through its eigenvalues (fast Walsh transform codes). The proposed adaptive CFAR detector has obvious advantages over known one based on the estimate of the clutter circulant covariance matrix.