DocumentCode
1221791
Title
Fractional biorthogonal partners in channel equalization and signal interpolation
Author
Vrcelj, Bojan ; Vaidyanathan, P.P.
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume
51
Issue
7
fYear
2003
fDate
7/1/2003 12:00:00 AM
Firstpage
1928
Lastpage
1940
Abstract
The concept of biorthogonal partners has been introduced recently by the authors. The work presented here is an extension of some of these results to the case where the upsampling and downsampling ratios are not integers but rational numbers, hence, the name fractional biorthogonal partners. The conditions for the existence of stable and of finite impulse response (FIR) fractional biorthogonal partners are derived. It is also shown that the FIR solutions (when they exist) are not unique. This property is further explored in one of the applications of fractional biorthogonal partners, namely, the fractionally spaced equalization in digital communications. The goal is to construct zero-forcing equalizers (ZFEs) that also combat the channel noise. The performance of these equalizers is assessed through computer simulations. Another application considered is the all-FIR interpolation technique with the minimum amount of oversampling required in the input signal. We also consider the extension of the least squares approximation problem to the setting of fractional biorthogonal partners.
Keywords
FIR filters; equalisers; interference suppression; interpolation; least squares approximations; signal sampling; ZFEs; all-FIR interpolation technique; channel equalization; channel noise; digital communications; downsampling ratios; finite impulse response fractional biorthogonal partners; fractional biorthogonal partners; fractionally spaced equalization; least squares approximation; noise suppression; rational numbers; signal interpolation; stable fractional biorthogonal partners; upsampling ratios; zero-forcing equalizers; 1f noise; Application software; Biomedical signal processing; Computer simulation; Digital communication; Equalizers; Finite impulse response filter; Image reconstruction; Interpolation; Least squares approximation;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2003.812844
Filename
1206701
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