Algorithm for steering vector estimation using second order moments

The increasing use of the electromagnetic spectrum is expected to present a higher demand for effective methods for interference canceling and signal separation. The goals of signal separation/reconstruction and interference canceling can be achieved by estimating the steering vectors of the array and then exploiting this information. We consider the problem of estimating the steering vectors of an uncalibrated array. The array elements are assumed to have the same unknown gain pattern, up to an unknown multiplicative factor, and the phases are arbitrary and unknown. The signals are assumed to be uncorrelated. We present an estimation algorithm and compare its performance with the Cramer Rao bound.