Adaptive Data Detector Filtering for Lower Bit Error Rates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data processing systems face challenges in reducing bit error rates due to noise in data transfer, as increasing filter lengths to combat noise lead to increased complexity without corresponding reductions in bit error rates.
Innovation Solution
The implementation of a data processing system that includes a data detector circuit with a filter circuit having a variable number of taps, a coefficient selector circuit that adjusts filter coefficients based on reliability information, and a data decoder circuit, allowing for adaptive noise predictive maximum likelihood filtering to optimize filter length based on data reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the length of filters used for noise predictive filtering is increased, then the bit error rate is reduced, but the complexity of the overall circuitry increases dramatically
Solution Approach 1:
The patent implements dynamic filter length adjustment where the filter adapts its length based on detected signal conditions. The system transitions from static to dynamic filter configuration, selecting between different filter lengths (e.g., 4-tap, 6-tap, 8-tap) depending on the reliability of detected data, thereby optimizing the balance between bit error rate reduction and circuit complexity.
Solution Approach 2:
The system changes the parameter of filter length dynamically based on detection reliability. By adjusting this key parameter according to signal conditions and reliability metrics, the system achieves variable filtering strength - using longer filters when needed for better error rates and shorter filters when sufficient, thus managing circuit complexity effectively.
2Reliability
If the length of filters used for noise predictive filtering is increased, then the bit error rate is reduced, but the corresponding reduction in bit error rate is not achieved proportionally to the complexity increase
Solution Approach 1:
The system applies partial filtering action by using variable filter lengths rather than consistently applying maximum filtering. When signal conditions are good, shorter filters provide sufficient noise reduction without excessive processing. This partial action approach avoids the diminishing returns of always using long filters, improving overall system efficiency while maintaining adequate bit error rate performance.
Solution Approach 2:
The dynamic adaptation of filter length allows the system to respond to changing signal conditions in real-time. By transitioning between different filter configurations based on detected reliability metrics, the system optimizes processing efficiency - applying stronger filtering only when necessary and using lighter filtering when conditions permit, thus avoiding wasted computational resources.
Data Source
AI summary
The present invention is related to systems and methods for enhancing data detection in a data processing system. In one embodiment, a data processing system is disclosed that includes a data detector circuit that is governed at least in part based upon selected coefficients. The selected coefficients are selected as either a first set of coefficients or a second set of coefficients where the second set of coefficients has fewer coefficients than the first set of coefficients.