Tongxin xuebao (Jan 2007)
Joint frequency-angle estimation using a pseudocovariance matrix
Abstract
A computationally simple joint frequency and angle estimation method with good statistical performance was proposed.The proposed method eliminates the effect of additive noise under the assumption that the temporal-correlation length of the noise field is shorter than that of the signals,and constructs a pseudocovariance matrix by exhibiting a suffi-cient temporal correlation to obtain the frequency estimation by implementing the singular value decomposition（SVD） of it,then the angles were obtained one-by-one using 1-D searches.Finally,it is shown that the proposed method is superior in estimating the angles because of the aperture extension and offers good estimation performance of the frequencies at the low computational burden through numerical simulations.
