Algorithm of Signal Subspace Estimation by Random Weighted Method for Coherent Signals
Kun Tan · Electronic Information Warfare Technology · 2010
A new algorithm of signal subspace estimation for coherent signals is proposed,in which random weighted method is used to destroy coherence of coherent signals.The new algorithm can solve rand reduction of covariance matrix effectively.Computer simulations verify that the estimation performance of the algorithm is better than spatial smoothing algorithm's.