Wavelet domain bearing estimation in unknown correlated noise
It is shown that the M-band wavelet domain correlation matrix of a noise process consists of linear structures as long as the spatial correlation function of the noise process decays asymptotically to zero as the distance between samples of the noise tends to infinity and the analyzing M-band wavelet has a large (/spl ges/5) number of vanishing moments. On the other hand, the M-band wavelet domain correlation matrix corresponding to plane waves consists of "plateau" like structures. Next, a procedure that discriminates between the signal information carried by plane waves and the noise information based on the structure of the M-band wavelet domain correlation matrix of the array outputs is proposed.<<ETX>>