Change search
CiteExportLink to record
Permanent link

Direct link
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Fractionally-spaced constant modulus algorithm blind equalizer error surface characterization: effects of source distributions
Cornell University, Ithaca.
1996 (English)In: Conference Proceedings: ICASSP 96, Piscataway, NJ: IEEE Communications Society, 1996, 2944-2947 p.Conference paper, Published paper (Refereed)
Abstract [en]

The constant modulus algorithm (CMA) is a popular blind equalization algorithm. A common device used in demonstrating the convergence properties of CMA is the assumption that the source sequence is i.i.d. (independent, identically distributed). Previous results in the literature show that a finite length fractionally-spaced equalizer allows for perfect equalization of moving average channels (under certain channel conditions known as zero-forcing criteria). CMA has previously been shown to converge to such perfectly equalizing settings under an independent, platykurtic source. This paper investigates the effect of the distribution from which an independent source sequence is drawn on the CMA error surface and stationary points in the perfectly-equalizable fractionally-sampled equalizer case. Results include symbolic identification of all stationary points, as well as the eigenvalues and eigenvectors associated with their Hessian matrix. Results show quantitatively the loss of error surface curvature (in both direction and magnitude) at all stationary points. Simulations included demonstrate the affect this has on convergence speed.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 1996. 2944-2947 p.
National Category
Signal Processing
Research subject
Signal Processing
URN: urn:nbn:se:ltu:diva-29604DOI: 10.1109/ICASSP.1996.550171Local ID: 32098ae0-a022-11db-8975-000ea68e967bOAI: diva2:1002828
IEEE International Conference on Acoustics, Speech, and Signal Processing : 07/05/1996 - 10/05/1996
Uppr├Ąttat; 1996; 20070109 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

Open Access in DiVA

fulltext(183 kB)22 downloads
File information
File name FULLTEXT01.pdfFile size 183 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Leblanc, James
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 22 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available


Altmetric score