DocumentCode
2359746
Title
A new low-complexity super-resolution technique to localize two closely-spaced plane-wave sources
Author
Souden, Mehrez ; Affes, Sofiène ; Benesty, Jacob
Author_Institution
Univ. du Quebec, Montreal
fYear
2007
fDate
17-20 June 2007
Firstpage
1
Lastpage
5
Abstract
We propose a new simple and accurate approach to localize two equipowered plane-wave sources (i.e., harmonics) using a uniform linear array (ULA) of sensors. We exploit the particular form of the covariance matrix jointly with a least square fitting (LSF) to derive new simple closed-form expressions for the directions of arrival (or harmonics in general). Simulation results demonstrate that resorting to this new method, mainly in the case of very low angular separation, and even with a limited number of sensors, leads to highly accurate results while requiring low computational complexity.
Keywords
computational complexity; covariance matrices; direction-of-arrival estimation; least squares approximations; computational complexity; covariance matrix; least square fitting; plane-wave sources; super-resolution technique; Computational complexity; Covariance matrix; Direction of arrival estimation; Jacobian matrices; Least squares methods; Satellites; Sensor arrays; Signal resolution; Spatial resolution; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Advances in Wireless Communications, 2007. SPAWC 2007. IEEE 8th Workshop on
Conference_Location
Helsinki
Print_ISBN
978-1-4244-0955-6
Electronic_ISBN
978-1-4244-0955-6
Type
conf
DOI
10.1109/SPAWC.2007.4401294
Filename
4401294
Link To Document