Array Shape Calibration using Sources in Unknown Locations—a Maximum Likelihood Approach

Anthony J. Weiss, Benjamin Friedlander

Research output: Contribution to journalComment/debate

Abstract

Sensor location uncertainty can severely degrade the performance of direction finding systems. An iterative maximum likelihood method for simultaneously estimating directions of arrival (DOA) and sensor locations is developed to alleviate this problem. The case of nondisjoint sources, i.e., sources observed in the same frequency cell and at the same time, is emphasized. The algorithm converges to the global maximum of the likelihood function if the initial conditions are sufficiently good. Numerical examples are presented, illustrating the performance of the proposed technique.

Original languageEnglish
Pages (from-to)1958-1966
Number of pages9
JournalIEEE Transactions on Acoustics, Speech, and Signal Processing
Volume37
Issue number12
DOIs
StatePublished - Dec 1989

Fingerprint

Dive into the research topics of 'Array Shape Calibration using Sources in Unknown Locations—a Maximum Likelihood Approach'. Together they form a unique fingerprint.

Cite this