Title :
Signal-subspace processing using higher order statistics
Author :
Leyman, A.R. ; Durrani, T.S.
Author_Institution :
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow
fDate :
8/4/1994 12:00:00 AM
Abstract :
Eigendecomposition-based techniques such as MUSIC and its variants constitute effective methods for determining the direction of arrival (DOA) estimates of narrowband sources. A new strategy which extends the MUSIC algorithm to higher order statistics (HOS) is proposed for estimation of the DOA, and the number of multiple narrowband incoherent and coherent non-Gaussian signals. The performance of the technique is compared with other recently suggested HOS-based methods
Keywords :
array signal processing; eigenvalues and eigenfunctions; statistics; MUSIC algorithm; coherent nonGaussian signals; direction of arrival; eigendecomposition-based techniques; higher order statistics; incoherent nonGaussian signals; narrowband sources; signal-subspace processing;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19940900
