`Almost blind' steering vector estimation using second-order moments

Anthony J. Weiss, Benjamin Friedlander

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)1024-1027
Number of pages4
JournalIEEE Transactions on Signal Processing
Volume44
Issue number4
DOIs
StatePublished - Apr 1996

Fingerprint

Dive into the research topics of '`Almost blind' steering vector estimation using second-order moments'. Together they form a unique fingerprint.

Cite this