IMPROVED DOA ESTIMATION VIA PSEUDORANDOM RESAMPLING OF SPATIAL SPECTRUM

A new pseudorandom spatial spectrum resampling scheme for improving th e threshold performance of eigenstructure direction of arrival (DOA) e stimators is proposed. Our approach is based on combining additional i nformation arising when several underlying DOA estimators are availabl e simultaneously, e.g., are calculated in parallel manner using given estimate of covariance matrix. Pseudorandomly generated weighted MUSIC estimators are exploited as appropriate underlying spatial spectral f unctions. Simulations show that our approach significantly improves th e DOA estimation signal-to-noise ratio (SNR) threshold relative to the conventional and beamspace MUSIC estimators, and performs in the thre shold region almost as well as the stochastic maximum likelihood (ML) estimator.