On the performance of subspace methods with array model errors and spatial smoothing
K.V.S. Hari, Uma Gummadavelli · IEEE International Conference on Acoustics Speech and Signal Processing · 1993
The effect of spatial smoothing (forward smoothing and forward-backward smoothing) on the performance of subspace methods in the presence of array model errors for direction-of-arrival (DOA) estimation is studied. Theoretical expressions for the mean squared error (MSE) in DOA are obtained, based on a common framework of analysis. Simulations were carried out to substantiate the theory developed. For the cases considered, smoothing improves the performance of the ESPRIT and minimum-norm method while it is not so for the multiple signal classification (MUSIC) technique.>