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Computationally efficient direction finding using polynomial rooting with reduced-order and real-valued computations.
- Source :
-
Journal of Systems Engineering & Electronics . Aug2016, Vol. 27 Issue 4, p739-745. 7p. - Publication Year :
- 2016
-
Abstract
- The root multiple signal classification (root-MUSIC) algorithm is one of the most important techniques for direction of arrival (DOA) estimation. Using a uniform linear array (ULA) composed of M sensors, this method usually estimates L signal DOAs by finding roots that lie closest to the unit circle of a ( 2-1)-order polynomial, where L < M. A novel efficient root-MUSIC-based method for direction estimation is presented, in which the order of polynomial is efficiently reduced to 2L. Compared with the unitary root-MUSIC (U-root-MUSIC) approach which involves real-valued computations only in the subspace decomposition stage, both tasks of subspace decomposition and polynomial rooting are implemented with real-valued computations in the new technique, which hence shows a significant efficiency advantage over most state-of-the-art techniques. Numerical simulations are conducted to verify the correctness and efficiency of the new estimator. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Portuguese
- ISSN :
- 10044132
- Volume :
- 27
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Journal of Systems Engineering & Electronics
- Publication Type :
- Periodical
- Accession number :
- 118285534
- Full Text :
- https://doi.org/10.21629/JSEE.2016.04.01