High-Speed Transceiver Equalization With Adaptive ADC and Tap Control
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Solution Overview
Problem
High speed transceivers based on digital signal processors face challenges in coordinating the operation of various equalizers for optimal settings and resource allocation, leading to increased bit error rates due to inter-symbol interference and signal distortion.
Innovation Solution
A high speed transceiver architecture incorporating an analog front-end circuit, feed-forward and decision feedback equalizers, a channel measurement circuit, signal to noise ratio estimation, and a resource allocation control unit, which adjusts the resolution of the analog-to-digital converter and tap numbers of equalizers for optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If digital signal processors are used for high speed transmission, then transmission speed is improved, but device complexity increases due to multiple equalizers
Solution Approach 1:
The patent combines multiple equalizers (feed-forward equalizer and decision feedback equalizer) into a unified digital signal processing unit that operates under coordinated control. The resource allocation control unit merges the management of these equalizers into a single control mechanism that optimizes their combined performance, reducing the practical complexity despite having multiple components.
Solution Approach 2:
The decision feedback equalizer incorporates feedback mechanisms where the output is fed back to influence subsequent processing decisions. This feedback loop enables the system to adapt to channel conditions dynamically, managing complexity through intelligent control rather than simple parallel processing of multiple equalizers.
2Reliability
If multiple equalizers are added to compensate for channel losses, then signal quality is improved, but coordination difficulty increases
Solution Approach 1:
The channel measurement circuit continuously monitors the actual channel conditions and provides feedback to the resource allocation control unit. This feedback enables dynamic adjustment of equalizer parameters in real-time, ensuring optimal coordination between multiple equalizers based on actual signal conditions rather than fixed pre-programmed settings.
Solution Approach 2:
The resource allocation control unit dynamically changes parameters such as the number of taps for each equalizer based on channel conditions. By adjusting these parameters adaptively, the system maintains optimal signal quality while managing coordination complexity through data-driven parameter optimization rather than rigid fixed configurations.
3Device complexity
If fixed equalizer settings are used, then device complexity is reduced, but adaptability to channel conditions deteriorates
Solution Approach 1:
The system transitions from static fixed settings to dynamic adaptive control where the resource allocation control unit continuously adjusts equalizer parameters based on real-time channel measurements. This dynamic behavior enables the system to adapt to varying channel conditions while maintaining manageable complexity through automated control mechanisms.
Solution Approach 2:
The channel measurement circuit provides continuous feedback on actual channel conditions to the resource allocation control unit, enabling the system to detect and respond to changes in channel characteristics. This feedback loop ensures high adaptability while keeping control complexity manageable through systematic monitoring and adjustment protocols.
4Measurement precision
If higher resolution ADC is used, then signal precision is improved, but resource consumption increases
Solution Approach 1:
The resource allocation control unit dynamically adjusts the resolution parameter of the analog-to-digital converter based on channel conditions and signal requirements. When channel conditions are favorable, the system uses lower resolution to reduce resource consumption; when conditions deteriorate, it increases resolution to maintain signal precision, optimizing the trade-off between these parameters.
Solution Approach 2:
The system applies partial resolution enhancement only when and where needed based on channel conditions, rather than consistently using maximum resolution. This selective approach to increasing resolution allows the system to maintain precision when necessary while minimizing resource consumption during normal operating conditions.
Data Source
AI summary
A high speed transceiver includes an analog front-end circuit, a feed-forward equalizer, a decision feedback equalizer, an SNR estimation circuit, and a channel measurement circuit. The analog front-end circuit preprocesses the received signal from the channel, which is then transmitted to the feed-forward equalizer for equalization. The decision feedback equalizer processes the output of the feed-forward equalizer to mitigate post-cursor inter-symbol interference. The channel measurement circuit uses signals from the analog front-end circuit and decision feedback equalizer to extract the single pulse response. The SNR estimator evaluates the receiver noise performance based on the difference between the output and input of the decision feedback equalizer. The output from the channel measurement circuit is used to optimize the settings of the equalizers. The ratio between the signal and the residual inter-symbol interference is used for resource allocation at the receiver for power optimization while maintaining the target bit error rate.