Blind Equalization Via Sample Sorting

Author

Wood, S.G., Jr. ; Paris, B.-P. ; Nelson, J.K.

Author_Institution

Zeta Associates Inc., Fairfax, VA

fYear

2006

fDate

24-27 Sept. 2006

Firstpage

82

Lastpage

87

Abstract

We present a computationally efficient blind equalization technique to mitigate the effects of inter-symbol interference (ISI). Our technique is based entirely on context sorting of received ISI corrupted samples of a communications system. Techniques based on rank sorting and successive rank sorting provide context based analysis of the underlying state transitions of a finite memory source channel. We are able to exploit this information to effectively perform blind equalization and moreover recover the transmitted symbols of an ISI corrupted data stream

Keywords

blind equalisers; channel estimation; interference suppression; intersymbol interference; ISI mitigation; blind equalization; context based analysis; data stream; finite memory source channel; inter-symbol interference; rank sorting; sample sorting; state transitions; Blind equalizers; Context; Decision feedback equalizers; Finite impulse response filter; Gaussian noise; Intersymbol interference; Maximum likelihood estimation; Noise robustness; Signal processing algorithms; Sorting; Blind Equalization; Demodulation; ISI; Rank Sorting;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th

Conference_Location

Teton National Park, WY

Print_ISBN

1-4244-3534-3

Electronic_ISBN

1-4244-0535-1

Type

conf

DOI

10.1109/DSPWS.2006.265433

Filename

4041036