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- W2127989808 abstract "The effects 1-bit quantization of the input samples has on the direction-of-arrival (DOA) estimation accuracy are considered. The signal model assumes a single stochastic Gaussian point source that is embedded in white Gaussian noise (WGN). The inherent limitations governed by the extreme clipping of the input data are analyzed using the Cramer-Rao bound (CRB) that is derived for a two-sensor array. In addition, several estimators for the I-bit estimation are discussed. Numerical and analytical analyses of the estimation error reveal weak dependency on signal-to-noise ratio (SNR) with singular behavior of the estimation error in certain DOA angles." @default.
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- W2127989808 date "2002-07-01" @default.
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- W2127989808 title "DOA estimation using one-bit quantized measurements" @default.
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- W2127989808 doi "https://doi.org/10.1109/taes.2002.1039405" @default.
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