Title :
Spatial correlation analysis using canonical correlation decomposition for sparse sonar array processing
Author :
Zhao, Yinghui ; Azimi-Sadjadi, Mahmood R. ; Wachowski, Neil ; Klausner, Nick
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado State Univ., Fort Collins, CO, USA
Abstract :
This paper uses the canonical correlation decomposition (CCD) framework to investigate the spatial correlation of sources captured using two spatially separated sensor arrays. The relationship between the canonical correlations of the observed signals and the spatial correlation coefficients of the source signals are first derived, including an analysis of the changes seen in this relationship under certain noise level and array geometry assumptions. Additionally, simulation results are presented that demonstrate the effects of different noise levels and array geometries on the canonical correlations for the case of two uniform linear sparse arrays.
Keywords :
array signal processing; correlation methods; sensor arrays; sonar arrays; canonical correlation decomposition; linear sparse array; sensor array; sparse sonar array processing; spatial correlation analysis; Array signal processing; Charge coupled devices; Direction of arrival estimation; Geometry; Noise level; Sensor arrays; Signal analysis; Signal processing; Sonar; Working environment noise; Canonical correlation decomposition; covariance matrix; spatial correlation coefficient;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346565