Title :
A cumulant-based Hankel approach to direction-of-arrival estimation
Author :
Shi, Zhenghao ; Fairman, Frederick W.
Author_Institution :
Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
fDate :
7/1/1994 12:00:00 AM
Abstract :
A new cumulant-based approach to DOA estimation for independent nonGaussian sources and a uniform linear array is presented. The DOAs are obtained by finding the eigenvalues of a matrix made up from cumulants of the data. As with other cumulant-based methods, the present method does not need the characteristics of the noise when the noise is Gaussian. This algorithm is developed using an approach that leads to a general relation between the cumulant functions and the parameters to be estimated. This general relation gives a common framework for developing other algorithms for DOA estimation. Computer simulation results show the effectiveness of this new method
Keywords :
array signal processing; eigenvalues and eigenfunctions; matrix algebra; parameter estimation; DOA estimation; Gaussian noise; computer simulation; cumulant functions; cumulant-based Hankel approach; direction-of-arrival estimation; eigenvalues; independent nonGaussian sources; matrix; parameter estimation; uniform linear array; Autocorrelation; Direction of arrival estimation; Eigenvalues and eigenfunctions; Gaussian noise; Higher order statistics; Multiple signal classification; Parameter estimation; Signal processing; Signal processing algorithms; Speech processing;
Journal_Title :
Signal Processing, IEEE Transactions on
