Approximate maximum likelihood direction of arrival estimation for two closely spaced sources

Abstract

Most high resolution direction of arrival (DoA) estimation algorithms exploit an eigen decomposition of the sample covariance matrix (SCM). However, their performance dramatically degrade in case of correlated sources or low number of snapshots. In contrast, the maximum likelihood (ML) DoA estimator is more robust to these drawbacks but suffers from a too… (More)
DOI: 10.1109/CAMSAP.2013.6714072

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