Wideband Array Processing Using Total Least-Squares Transformations - Statistical Signal and Array Processing., IEEE Seventh SP Workshop on

In this paper, we introduce a new technique for wideband array processing. The new algorithm is based on the total least-square approach. The total least-square method is an alternative to the least-square method and uses the fact that the errors can exist both in the focusing location matrix and the estimated location matrix at the frequency bin. To prevent the focusing loss, we use a unitary a p proach for focusing. The new method does not require singular value decomposition. The computational complexity for the new technique is significantly lower than that for the similar methods which use singular value decomposition. The simulation results show that the new algorithm has a smaller resolution signal-twnoise ratio than the coherent signal-subspace method. The bias in the estimation of the directions-of-arrival is also smaller for the new method than that for the coherent signal-subspace method.