Decision Feedback Equalizer Error Detection for Burst Error Removal
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Solution Overview
Problem
Conventional data communication systems are inadequate in handling high-bandwidth data transfer and error correction, particularly in removing intersymbol interference and burst errors, which affects the accuracy and efficiency of data transmission.
Innovation Solution
An error correction system that incorporates feedforward equalization, decision feedback equalization, and maximum likelihood sequence detection with a reduced-state trellis path to process data signals, effectively removing intersymbol interference and burst errors, and implementing a reflection cancellation module to enhance error detection and correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional feedforward equalization and decision feedback equalization are used, then data transmission is enabled, but intersymbol interference and burst errors cannot be effectively removed
Solution Approach 1:
The patent segments the error detection and correction process into distinct components: a reduced-state trellis path for detecting error events, a specific metric calculation for evaluating decision quality, and targeted correction mechanisms. This segmentation allows complex error handling to be achieved through modular, manageable components rather than a monolithic complex system.
Solution Approach 2:
The patent changes the parameter of state representation in the trellis from full-state to reduced-state, and introduces specific metric calculations that focus on error event detection rather than complete sequence evaluation. This parameter change simplifies the computational complexity while maintaining or improving error detection capability.
2Measurement precision
If maximum likelihood sequence detection with reduced-state trellis path is implemented, then error detection accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent extracts and focuses only on the essential elements needed for error detection by using a reduced-state trellis path that identifies only error events rather than evaluating all possible sequences. This extraction approach maintains detection accuracy for critical error conditions while removing unnecessary computational overhead from analyzing non-error states.
Solution Approach 2:
The patent applies partial action by implementing error detection only where and when needed through the reduced-state approach, rather than performing exhaustive maximum likelihood detection on all possible sequences. This selective application of detection resources optimizes the balance between accuracy and computational power consumption.
3Reliability
If decision feedback equalization is used to remove intersymbol interference, then signal quality is improved, but burst errors are introduced and cannot be detected
Solution Approach 1:
The patent introduces an intermediary error detection mechanism that sits between the decision feedback equalization process and the final data output. This intermediary reduced-state trellis detector specifically monitors for burst errors and error events that the DFE may have introduced, allowing correction before final data reconstruction without interfering with the DFE's signal quality improvement function.
Solution Approach 2:
The patent implements feedback by using the error detection results from the reduced-state trellis path to inform and correct the equalization process. The detection of error events feeds back into the system to enable correction mechanisms that address burst errors while preserving the signal quality benefits of decision feedback equalization.
Data Source
AI summary
The present invention is directed to data communication. More specifically, an embodiment of the present invention provides an error correction system. Input data signals are processed by a feedforward equalization module and a decision feedback back equalization module. Decisions generated by the decision feedback equalization module are processed by an error detection module, which determines error events associated with the decisions. The error detection module implements a reduced state trellis path. There are other embodiments as well.