ADC Slicer Reconfiguration for Channel Insertion Loss Modes
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Solution Overview
Problem
High-speed communication systems face challenges in efficiently managing insertion loss in receiver devices, particularly as signaling speeds increase, leading to higher power consumption and complexity in recovering data from analog signals.
Innovation Solution
The implementation of a receiver device with time-interleaved analog-to-digital converters (ADCs) that include multiple sub-ADCs with successive approximation (SAR) ADC slices, allowing for reconfiguration based on insertion loss modes to optimize the number of ADC slicers used, thereby adjusting power consumption and performance according to communication range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the sampling rate of ADC is increased to support higher signaling speeds, then data recovery capability is improved, but power consumption increases
Solution Approach 1:
The ADC is divided into multiple time-interleaved sub-ADCs, each handling a portion of the sampling task. This segmentation allows the system to achieve high sampling rates through parallel operation of multiple lower-rate converters, reducing the power consumption burden on any single converter while maintaining overall high-speed performance.
Solution Approach 2:
The receiver dynamically reconfigures the number of enabled ADC slices based on the detected insertion loss conditions. When channel loss is severe, more slices are activated to improve signal recovery; when loss is minimal, fewer slices are used to reduce power consumption. This dynamic adaptation resolves the contradiction between speed capability and energy usage.
2Reliability
If more ADC slices are enabled to handle higher insertion loss, then data recovery reliability is improved, but device complexity increases
Solution Approach 1:
The system automatically adjusts the number of active ADC slices based on real-time channel conditions. The receiver detects insertion loss and dynamically enables or disables specific slices without requiring manual configuration or complex external control logic, thus improving reliability while keeping the control mechanism relatively simple.
Solution Approach 2:
The ADC system performs self-configuration by automatically selecting the appropriate number of slices to activate based on detected channel conditions. This self-service capability eliminates the need for complex external control systems or manual intervention, resolving the contradiction between reliability and complexity.
3Measurement precision
If the number of SAR ADC slices is increased to improve signal recovery, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The receiver dynamically adjusts the number of active ADC slices based on the severity of channel insertion loss. When signals are strongly attenuated, more slices are activated to improve precision; when signals are strong, fewer slices are used to conserve energy. This dynamic adjustment resolves the contradiction between precision and energy consumption.
Solution Approach 2:
The system changes the operational parameters of the ADC by varying the number of active slices according to channel conditions. This parameter adjustment allows the system to optimize the trade-off between measurement precision and power consumption, using only the necessary computational resources for each specific communication scenario.
Data Source
AI summary
A receiver having analog-to-digital converters (ADC) is disclosed. The ADCs may be reconfigured based on the insertion loss mode of the receiver. For example, different portions of a plurality of time-interleaved successive approximation (SAR) ADC slices included in at least one sub-ADC of each time-interleaved ADC may be enabled depending on which of a plurality of insertion loss modes is selected for operation of the receiver.