Title :
Signal decorrelation by spatial smoothing for spherical microphone arrays
Author :
Khaykin, Dmitry ; Rafaely, Boaz
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
Abstract :
Spatial smoothing (SS) is a preprocessing technique that was shown to be efficient in decorrelating coherent signals thus making eigenstructure methods, like MUSIC, operative in a coherent interference environment. However, up to date the application of this technique to spherical arrays was not presented. The spherical array configuration provides desired 3-D symmetry and facilitates the estimation of both azimuth and elevation angles with the same accuracy. One of the approaches to perform SS is to construct arrays which are shifted versions of the original array. In this paper we investigate conditions on the locations of the shifted arrays to ensure efficient performance of SS, i.e. increase in the rank of the signals covariance matrix.
Keywords :
array signal processing; covariance matrices; decorrelation; direction-of-arrival estimation; eigenvalues and eigenfunctions; interference (signal); microphone arrays; smoothing methods; DOA estimation; coherent interference environment; covariance matrix; direction-of-arrival estimation; eigenstructure method; signal decorrelation; spatial smoothing preprocessing technique; spherical microphone array; Array signal processing; Azimuth; Covariance matrix; Decorrelation; Direction of arrival estimation; Fourier transforms; Interference; Microphone arrays; Multiple signal classification; Smoothing methods; Coherent Interference; DOA Estimation; Spatial Smoothing; Spherical Arrays;
Conference_Titel :
Electrical and Electronics Engineers in Israel, 2008. IEEEI 2008. IEEE 25th Convention of
Conference_Location :
Eilat
Print_ISBN :
978-1-4244-2481-8
Electronic_ISBN :
978-1-4244-2482-5
DOI :
10.1109/EEEI.2008.4736703