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 Cramér-Rao bound (CRB) that is derived for a two-sensor array. In addition, several estimators for the 1-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.
Original language | English |
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Pages (from-to) | 868-884 |
Number of pages | 17 |
Journal | IEEE Transactions on Aerospace and Electronic Systems |
Volume | 38 |
Issue number | 3 |
DOIs | |
State | Published - Jul 2002 |