Blind Equalization Via Sample Sorting

Blind Equalization Via Sample Sorting

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 sortin...

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Bibliographic Details
Published in:2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop pp. 82 - 87
Main Authors: Wood, S.G., Paris, B.-P., Nelson, J.K.
Format: Conference Proceeding
Language:English
Published: IEEE 01-09-2006
Subjects:
Blind Equalization
Blind equalizers
Context
Decision feedback equalizers
Demodulation
Finite impulse response filter
Gaussian noise
Intersymbol interference
ISI
Maximum likelihood estimation
Noise robustness
Rank Sorting
Signal processing algorithms
Sorting
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Summary: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
DOI:10.1109/DSPWS.2006.265433