A novel wideband DOA estimator based on Khatri–Rao subspace approach
- 1 October 2011
- journal article
- Published by Elsevier BV in Signal Processing
- Vol. 91 (10), 2415-2419
- https://doi.org/10.1016/j.sigpro.2011.04.014
Abstract
Highlights ► A DOA estimation method is proposed for wideband sources based on KR product. ► The covariance matrices are combined into a higher dimensional matrix. ► This method achieves higher resolution and smaller RMSE. ► This method performs well even if sources are more than sensors.Keywords
This publication has 11 references indexed in Scilit:
- An extended TOPS algorithm based on incoherent signal subspace methodSignal Processing, 2010
- DOA Estimation of Quasi-Stationary Signals With Less Sensors Than Sources and Unknown Spatial Noise Covariance: A Khatri–Rao Subspace ApproachIEEE Transactions on Signal Processing, 2009
- TOPS: new DOA estimator for wideband signalsIEEE Transactions on Signal Processing, 2006
- Robust auto-focusing wideband DOA estimationSignal Processing, 2006
- Source localization and beamformingIEEE Signal Processing Magazine, 2002
- Two decades of array signal processing research: the parametric approachIEEE Signal Processing Magazine, 1996
- Wideband array processing using a two-sided correlation transformationIEEE Transactions on Signal Processing, 1995
- Focussing matrices for coherent signal-subspace processingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sourcesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
- Spatio-temporal spectral analysis by eigenstructure methodsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1984