DOA estimation using one-bit quantized measurements

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 o...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2002-07, Vol.38 (3), p.868-884
Main Authors: Bar-Shalom, O., Weiss, A.J.
Format: Article
Language:English
Subjects:
Aircraft components
Arrays
Covariance matrix
Cramer-Rao bounds
Direction of arrival estimation
Electronic systems
Error analysis
Estimation error
Estimators
Frequency estimation
Gaussian
Gaussian noise
Mathematical analysis
Quantization
Sampling methods
Signal analysis
Stochastic processes
Stochastic resonance
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2002.1039405