Equalizer Floating Tap Search via Binary Division
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Solution Overview
Problem
Existing feedback equalizers require a significant amount of time to decide floating taps affected by inter-symbol interference due to reflection, especially with a large number of taps, leading to inefficiency and increased complexity.
Innovation Solution
A device and method that utilize binary division of the search range and correlation sum calculations to quickly identify floating taps by assigning codes based on a code constant sequence and recalculating correlation sums for binary divided sub-parts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the floating tap is decided by individually checking each tap provided in the feedback equalizer, then the decision accuracy is improved, but the time required for the decision increases in proportion to the number of taps
Solution Approach 1:
The patent divides the search range into multiple sub-ranges and processes them in parallel using multiple calculation units. Each calculation unit handles a specific sub-range independently, allowing simultaneous processing of multiple taps without sequential checking, thus reducing total decision time while maintaining accuracy
Solution Approach 2:
The patent transforms the one-dimensional sequential tap checking process into a multi-dimensional parallel processing structure by introducing multiple calculation units that operate simultaneously on different sub-ranges, effectively adding a parallel processing dimension to the decision-making process
2Reliability
If a feedback equalizer with a large number of taps is used to cover the wide range of symbols affected by reflection, then the equalization performance is improved, but the device complexity increases
Solution Approach 1:
The patent extracts and identifies only the specific taps that are actually affected by inter-symbol interference due to reflection, rather than processing all taps. By isolating and focusing computational resources on the relevant floating taps, the system maintains equalization performance while reducing the effective complexity of the equalizer operation
Solution Approach 2:
The patent applies different processing strategies to different parts of the equalizer taps. Instead of uniform processing of all taps, it identifies and applies specialized interference removal algorithms only to the floating taps that exhibit inter-symbol interference, while other taps are processed differently or not at all, optimizing resource allocation
3Reliability
If all taps are processed to remove inter-symbol interference due to reflection, then the interference removal effectiveness is improved, but the productivity decreases due to inefficiency
Solution Approach 1:
The patent applies the principle of partial action by processing only the necessary subset of taps (floating taps affected by reflection) rather than all taps. This selective approach removes interference effectively from the relevant signals while avoiding wasted computational effort on taps that do not require interference removal, thus improving processing efficiency
Data Source
AI summary
A device according to the present invention includes: one or more calculation units configured to calculate correlation sums of binary divided first and second parts of the search range specified for a series of discrete digital signals having a unit time difference from each other, the discrete digital signals being specified based on a set code constant sequence, and a controller configured to specify as the search range one part in which a dominant value appears in one or more correlation sums for the first part and one or more correlation sums for the second part, each of which is calculated by the one or more calculation units, and cause the one or more calculation units to recalculate the correlation sums for each of the binary divided sub parts of the one part.