Covariance-Based Direction-of-Arrival Estimation of Wideband Coherent Chirp Signals via Sparse Representation
Open Access
- 29 August 2013
- Vol. 13 (9) , 11490-11497
Abstract
This paper addresses the problem of direction-of-arrival (DOA) estimation of multiple wideband coherent chirp signals, and a new method is proposed. The new method is based on signal component analysis of the array output covariance, instead of the complicated time-frequency analysis used in previous literatures, and thus is more compact and effectively avoids possible signal energy loss during the hyper-processes. Moreover, the a priori information of signal number is no longer a necessity for DOA estimation in the new method. Simulation results demonstrate the performance superiority of the new method over previous ones.Keywords
This publication has 14 references indexed in Scilit:
- Separation of overlapping linear frequency modulated (LFM) signals using the fractional fourier transformIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2010
- Computational Methods for Sparse Solution of Linear Inverse ProblemsProceedings of the IEEE, 2010
- Theoretical Results on Sparse Representations of Multiple-Measurement VectorsIEEE Transactions on Signal Processing, 2006
- Ambiguity-function-based techniques to estimate DOA of broadband chirp signalsIEEE Transactions on Signal Processing, 2006
- A sparse signal reconstruction perspective for source localization with sensor arraysIEEE Transactions on Signal Processing, 2005
- Locally stationary covariance and signal estimation with macrotilesIEEE Transactions on Signal Processing, 2003
- Estimating parameters of multiple wideband polynomial-phase sources in sensor arraysIEEE Transactions on Signal Processing, 2001
- Iterative algorithm for direction of arrival estimation with wideband chirp signalsIEE Proceedings - Radar, Sonar and Navigation, 2000
- Wideband direction-of-arrival estimation of multiple chirp signals using spatial time-frequency distributionsIEEE Signal Processing Letters, 2000
- Multipath time-delay detection and estimationIEEE Transactions on Signal Processing, 1999