Sensor gain and phase estimation

Qi Cheng, Yingbo Hua

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

We present three algorithms for joint estimation of source angles and sensor gains and phases. These algorithms are based on the principles of weighted noise subspace fitting (WNSF), conditional maximum likelihood, and unconditional maximum likelihood. We study the statistical performances of the three algorithms assuming the source angles are known. The WNSF algorithm with an optimum weight is shown to be statistically the most efficient among the three and is implementable in an iterative quadratic fashion.

Original languageEnglish
Pages (from-to)274-278
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
Publication statusPublished - 1998
Externally publishedYes
EventProceedings of the 1997 31st Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: 2 Nov 19975 Nov 1997

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