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An adaptive diffusion augmented complex least mean square (D-ACLMS) algorithm for collaborative processing of the generality of complex signals over distributed networks is proposed. The algorithm enables the estimation of both second order circular (proper) and noncircular (improper) signals within a unified framework of augmented complex statistics. The analysis shows that the performance advantage of the widely linear D-ACLMS over the strictly linear D-CLMS increases with the degree of noncircularity while maintaining similar performance for proper data. Simulations on both synthetic benchmark and real world noncircular data support the approach.
Published in:
Signal Processing Letters, IEEE
(Volume:18
,
Issue:
11
)
Date of Publication: Nov. 2011
- Page(s):
- 659 - 662
- ISSN :
- 1070-9908
- INSPEC Accession Number:
- 12258150
- Digital Object Identifier :
- 10.1109/LSP.2011.2168390
- Product Type:
- Journals & Magazines
- Date of Publication :
- 15 September 2011
- Date of Current Version :
- 26 September 2011
- Issue Date :
- Nov. 2011
- Sponsored by :
- IEEE Signal Processing Society
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