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We consider an adaptive reduced-rank detector, referred to as the CG-AMF detector, which is obtained by using the conjugate gradient (CG) algorithm to solve for the weight vector of the adaptive matched filter (AMF). The CG is a computationally efficient iterative algorithm, which finds the projection of the AMF weight vector to the Krylov subspace with a dimension growing with the CG iterations....
We consider an adaptive reduced-rank CG-AMF detector, obtained by using the conjugate gradient (CG) algorithm to solve for the weight vector of the adaptive matched filter (AMF). We examine the output signal-to-interference-and-noise ratio (SINR) of the CG-AMF detector in the presence of strong clutter/interference. An asymtotic expression of the probability density function of the output SINR is...
Jacket matrices which are defined to be mtimesm matrices J = [jik] over a field F with the property JJdagger = mIm, J is the transpose matrix of elements inverse of J. i.e., Jdagger = [jik-1]T, was introduced by Lee in 1984 and are used for digital signal processing and coding theory. This paper presents some square matrices A2n which can be eigenvalue decomposed by Jacket matrices. Specially, A2...
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