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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
Published in:
Signal Processing, IEEE Transactions on
(Volume:42
,
Issue:
7
)
Date of Publication: Jul 1994
- Page(s):
- 1855 - 1859
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 4757784
- Digital Object Identifier :
- 10.1109/78.298298
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jul 1994
- Sponsored by :
- IEEE Signal Processing Society
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