Robust equalization for spread-response precoding systems

The problem of equalization for spread-response precoding systems based on minimum mean-square error (MMSE) estimates of the fading channel coefficients is considered. These systems are attractive, low complexity alternatives to the combination of interleaving and error-control coding for achieving...

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Published in:Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) Vol. 6; pp. 3513 - 3516 vol.6
Main Authors: Laneman, J.N., Wornell, G.W.
Format: Conference Proceeding
Language:English
Published: IEEE 1998
Subjects:
Channel estimation
Data communication
Distortion measurement
Equalizers
Fading
Interleaved codes
Intersymbol interference
Narrowband
Robustness
Wireless communication
ISBN:9780780344280, 0780344286
ISSN:1520-6149
Online Access:Get full text
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Abstract The problem of equalization for spread-response precoding systems based on minimum mean-square error (MMSE) estimates of the fading channel coefficients is considered. These systems are attractive, low complexity alternatives to the combination of interleaving and error-control coding for achieving time diversity in fading environments. To make the performance of these systems robust to channel estimation errors, we derive the linear equalizer at the receiver that maximizes the effective signal-to-noise-and-interference ratio (SNIR) subject to uncertainty in the channel measurements. We examine the bit-error rate performance and develop fixed and dynamic solutions to the associated problem of optimal power allocation between the data transmissions and channel measurements. The effectiveness of these algorithms is demonstrated through measurements obtained from an indoor wireless setting.
AbstractList The problem of equalization for spread-response precoding systems based on minimum mean-square error (MMSE) estimates of the fading channel coefficients is considered. These systems are attractive, low complexity alternatives to the combination of interleaving and error-control coding for achieving time diversity in fading environments. To make the performance of these systems robust to channel estimation errors, we derive the linear equalizer at the receiver that maximizes the effective signal-to-noise-and-interference ratio (SNIR) subject to uncertainty in the channel measurements. We examine the bit-error rate performance and develop fixed and dynamic solutions to the associated problem of optimal power allocation between the data transmissions and channel measurements. The effectiveness of these algorithms is demonstrated through measurements obtained from an indoor wireless setting.
Author Wornell, G.W.
Laneman, J.N.
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Snippet The problem of equalization for spread-response precoding systems based on minimum mean-square error (MMSE) estimates of the fading channel coefficients is...
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StartPage 3513
SubjectTerms Channel estimation
Data communication
Distortion measurement
Equalizers
Fading
Interleaved codes
Intersymbol interference
Narrowband
Robustness
Wireless communication
Title Robust equalization for spread-response precoding systems
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