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DOA estimation in the autocorrelation domain for coprime array.
- Source :
-
Digital Signal Processing . Mar2021, Vol. 110, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
-
Abstract
- In this paper a new algorithm for direction of arrival (DOA) estimation in coprime arrays based on the autocorrelation domain (AD) method is proposed. The spatial autocorrelation sequence of the virtual uniform linear array (ULA) associated with the coprime array is built by averaging the diagonals of the spatially smoothed covariance matrix. The AD method estimates the DOAs by solving a generalized eigenvalue problem and refining the obtained solution. The main advantage of the introduced method is a spatial spectrum without false peaks. Simulation results indicate that the proposed approach is better than existing methods, especially for small number of snapshots. [ABSTRACT FROM AUTHOR]
- Subjects :
- *COVARIANCE matrices
*EIGENVALUES
*AUTOCORRELATION (Statistics)
*ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 10512004
- Volume :
- 110
- Database :
- Academic Search Index
- Journal :
- Digital Signal Processing
- Publication Type :
- Periodical
- Accession number :
- 148187924
- Full Text :
- https://doi.org/10.1016/j.dsp.2020.102940