Abstract
The problem of estimating the steering vectors of an uncalibrated array is considered. We identify a cost function whose minimizer is a statistically consistent estimate of the unknown parameters. Next we present an iterative algorithm for finding a local minimum of that cost function. The proposed algorithm is guaranteed to converge. The performance of the algorithm is compared with the Cramer-Rao bound (CRB).
Original language | English |
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Pages (from-to) | 1015-1018 |
Number of pages | 4 |
Journal | IEEE Transactions on Signal Processing |
Volume | 44 |
Issue number | 4 |
DOIs | |
State | Published - 1996 |