Title :
A New Approach to Spatial Power Spectral Density Estimation for Multiple Incoherently Distributed Sources
Author :
ShahbazPanahi, Shahram ; Valaee, Shahrokh
Author_Institution :
Fac. of Eng. & Appl. Sci., Univ. of Ontario Inst. of Technol., Ont.
Abstract :
In this paper, a new technique is proposed for estimating the total spatial power spectral density (PSD) caused by multiple incoherently distributed sources. Our approach is based on the fact that the array covariance matrix can be represented through the moments of the spatial PSD. Based on this representation, we develop a computationally efficient technique to estimate the moments from the array covariance matrix. The so-obtained moments are then used to estimate the total spatial PSD.
Keywords :
array signal processing; covariance matrices; spectral analysis; array covariance matrix; multiple incoherently distributed sources; spatial power spectral density estimation; Array signal processing; Covariance matrix; Distributed computing; Frequency; Power engineering and energy; Power engineering computing; Sensor arrays; Sonar applications; Underwater acoustics; Wireless communication; Source localization; covariance fitting; distributed source; spatial power spectral density; spread source;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2007.366440
