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• W2157358025 abstract "A statistical performance analysis of subspace-based directions-of-arrival (DOA) estimation algorithms in the presence of correlated observation noise with unknown covariance is presented. The analysis of five different estimation algorithms is unified by a single expression for the mean-squared DOA estimation error which is derived using a subspace perturbation expansion. The analysis assumes that only a finite amount of array data is available.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
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• W2157358025 date "1992-03-01" @default.
• W2157358025 modified "2023-09-23" @default.
• W2157358025 title "Performance degradation of DOA estimators due to unknown noise fields" @default.
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• W2157358025 doi "https://doi.org/10.1109/78.120813" @default.
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