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• W1818449313 abstract "The convergence rates of direction of arrival (DOA) estimates using expectation-maximization (EM) and space alternating generalized EM (SAGE) algorithms are investigated. The EM algorithm is a well known recursive method for locating modes of a likelihood function which is characterized by simple implementation and stability. Unfortunately the slow convergence associated with EM makes it less attractive. The recently proposed SAGE algorithm, based on the same idea of data augmentation, preserves the advantage of simple implementation and has the potential to speed up convergence. Theoretical analysis shows that SAGE has faster convergence rate than EM under certain conditions. This conclusion is also supported by numerical experiments carried out over a wide range of SNRs and different numbers of snapshots." @default.
• W1818449313 created "2016-06-24" @default.
• W1818449313 creator A5007809493 @default.
• W1818449313 creator A5062683674 @default.
• W1818449313 date "2002-11-13" @default.
• W1818449313 modified "2023-10-01" @default.
• W1818449313 title "Comparative convergence analysis of EM and SAGE algorithms in DOA estimation" @default.
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• W1818449313 doi "https://doi.org/10.1109/icassp.2001.940279" @default.
• W1818449313 hasPublicationYear "2002" @default.
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