Channel Response Averaging for Lower-Complexity Equalization
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Solution Overview
Problem
Bandwidth constrained communication systems face high complexity and power dissipation due to extended channel responses, leading to increased latency and challenging implementation in equalization structures, with existing solutions failing to meet industry needs for reduced complexity and low power dissipation.
Innovation Solution
A method involving full-length channel response acquisition, reduction of channel responses through weighted averaging based on symbol patterns, and using the resulting reduced set as a model for lower complexity equalization, which can be repeated in time-varying channels, effectively shortening the effective channel response length.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full-length channel response equalization is used to mitigate intersymbol interference, then system performance is improved, but equalizer complexity increases exponentially
Solution Approach 1:
The patent segments the channel response into multiple subsets based on symbol pattern groups. Instead of processing the full channel response directly, the equalizer divides it into manageable segments corresponding to different symbol pattern categories, thereby reducing the computational complexity while maintaining equalization performance.
Solution Approach 2:
The patent changes the parameter representation by using averaged channel responses for each symbol pattern group rather than full-length individual responses. This parameter transformation reduces the effective length of channel responses that need to be processed, exponentially reducing equalizer complexity from O(2^L) to O(2^M) where M < L.
2Measurement precision
If extended channel response processing is implemented to reduce intersymbol interference, then equalization accuracy is improved, but power dissipation increases
Solution Approach 1:
The patent segments the channel response processing into grouped symbol patterns, reducing the number of computations required for equalization. This segmentation directly reduces the power dissipation by decreasing the number of multiplications and additions performed in the equalizer while maintaining equalization accuracy through preserved essential channel characteristics.
3Reliability
If high complexity equalization structures are used to handle channel impairments, then mitigation performance is improved, but latency increases
Solution Approach 1:
The patent changes the effective parameter length of channel responses by using averaged responses for symbol pattern groups. This parameter reduction decreases the processing depth required in the equalizer, thereby reducing latency while maintaining mitigation performance through preserved essential channel response characteristics.
4Use of energy by moving object
If reduced complexity equalization structures are used to lower power dissipation, then power efficiency is improved, but equalization performance deteriorates
Solution Approach 1:
The patent transforms the channel response parameters by averaging responses within symbol pattern groups, creating compact representations that retain essential equalization information. This parameter transformation enables reduced complexity equalization structures to achieve acceptable power dissipation while maintaining adequate equalization performance through preserved dominant channel characteristics.
Data Source
AI summary
The present invention relates to a method of reducing equalizer complexity in communication systems, which also provides for reduced power dissipation. The method consists of reducing the number of channel responses expected by the equalizer by averaging sub-groups of all of the possible the channel responses chosen in a particular way.