Direction-of-arrival estimation performance analysis of the rank reduction estimator in the presence of finite samples
Wu Ying · Journal of Communications · 2013
The DOA estimation performance of the rank reduction estimator(RARE) in the case of finite samples was studied.Based on the perturbation theorem associated with the orthogonal projection matrix of the signal(or noise) subspace,the first-order and second-order formulas for the DOA estimation errors of the RARE were derived.Then,the closed-form expressions for mean square error(MSE),bias and direction finding(DF) success probability of the RARE were presented.A variety of numerical experiments concerning some important RARE are conducted to verify the theoretical analysis.