Aj. Weiss et B. Friedlander, ALMOST-BLIND STEERING VECTOR ESTIMATION USING 2ND-ORDER MOMENTS, IEEE transactions on signal processing, 44(4), 1996, pp. 1024-1027
The problem of estimating the steering vectors of an uncalibrated arra
y is considered. We identify a cost function whose minimizer is a stat
istically consistent estimate of the unknown parameters. Next, we pres
ent an iterative algorithm for finding a local minimum of that cost fu
nction. The proposed algorithm is guaranteed to converge. The performa
nce of the algorithm is compared with the Cramer-Rao bound (CRB).