Noise Predictive Equalization With Partial Tap Conditioning
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Solution Overview
Problem
Existing data processing systems face inefficiencies in equalization, particularly in high-density applications where the increased number of branch metric computation units and noise predictive filters lead to underutilization of additional taps, resulting in suboptimal performance.
Innovation Solution
The implementation of partially conditioned data equalization methods that calculate fully and partially conditioned noise terms, combine them to yield a whitened noise output, and generate noise whitening filter coefficients based on minimizing the least mean squared value, utilizing a 2N state detector circuit and multiple taps in noise predictive filters to enhance signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of branch metric computation units and noise predictive filters is increased to achieve longer target for high density applications, then the equalization performance is improved, but the additional tap noise compensation circuit becomes underutilized
Solution Approach 1:
The patent applies partial conditioning by calculating noise terms for only some taps (partial conditioning) rather than all taps (full conditioning). This allows the system to utilize additional noise compensators without requiring full computational resources for each, achieving good equalization performance while avoiding complete underutilization of the extended circuitry. The partial conditioning approach uses a subset of the available noise predictive filters effectively.
Solution Approach 2:
The patent changes the conditioning parameter from full to partial, creating different levels of noise term calculation. By adjusting the degree of conditioning (full vs. partial), the system can optimize the balance between equalization performance and circuit utilization efficiency, resolving the contradiction between improving performance and maintaining manufacturing efficiency.
2Length of moving object
If the number of noise predictive filters is increased to match the increase in branch metric computation units, then the target length is extended for better high density application performance, but the complexity of the noise compensator circuit increases
Solution Approach 1:
The patent implements partial conditioning where not all noise predictive filters require full noise term calculations. By applying conditioning to only the necessary subset of taps, the system extends the target length using multiple filters while avoiding the full complexity that would result from completely conditioning all additional taps, thus managing circuit complexity.
Solution Approach 2:
The patent segments the noise compensation process into fully conditioned taps and partially conditioned taps. This segmentation allows different parts of the noise compensator circuit to operate at different complexity levels, enabling extended target length while managing overall circuit complexity through differentiated processing requirements for different tap groups.
Data Source
AI summary
Various embodiments of the present invention provide systems and methods for equalization. As an example, a circuit for data equalization is described that includes a 2N state detector circuit that provides a series of detected bits based upon a conditioned input, and a noise predictive filter having a plurality of taps and operable to provide at least a portion of the conditioned input. At least a first of the plurality of taps uses a first subset of the series of detected bits, and a second of the plurality of taps uses a second subset of the series of detected bits. The first subset of the detected bits includes one more bit than the second subset of the detected bits.