ADC Calibration Control Using Dynamic Integration Coefficients
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Solution Overview
Problem
Conventional RF time-interleaved ADC circuits face challenges in calibration accuracy and efficiency, particularly with irregular signals, requiring prolonged calibration times and leading to sub-optimal performance in applications like burst mode signals and radar systems.
Innovation Solution
An integrated circuit with a monitor circuit that dynamically generates integration coefficients based on signal characteristics, allowing for adaptive calibration control and minimizing power consumption by freezing calibration loops during low signal conditions, thereby optimizing performance and reducing calibration time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If background calibration algorithms are kept working continuously to maintain calibration accuracy, then calibration robustness is improved, but power consumption increases and calibration divergence occurs during low signal conditions
Solution Approach 1:
The calibration algorithm transitions from static continuous operation to dynamic adaptive operation, where the monitor circuit continuously evaluates signal characteristics and adjusts calibration activity accordingly. The system dynamically switches between active calibration during sufficient signal conditions and frozen calibration during insufficient signal conditions, optimizing both power consumption and calibration robustness.
Solution Approach 2:
A monitor circuit is introduced that continuously monitors signal characteristics and provides feedback to control the calibration process. This feedback mechanism enables the system to detect when signal levels are sufficient for accurate calibration and when they are insufficient, thereby controlling calibration activation/deactivation to prevent divergence while saving power during low signal conditions.
2Measurement precision
If foreground calibration is performed with static integration coefficients to maximize offset calibration accuracy, then measurement precision is improved, but calibration time increases significantly
Solution Approach 1:
The integration coefficients transition from static fixed values to dynamic adaptive values that are continuously adjusted based on monitor circuit feedback. During foreground calibration, the system uses high integration coefficients for rapid convergence, then dynamically reduces coefficients as calibration approaches completion, achieving both speed and accuracy.
Solution Approach 2:
The calibration process is divided into periodic phases with different coefficient strategies. The system periodically updates integration coefficients based on calibration progress and signal characteristics, using aggressive coefficients initially for fast convergence and more conservative coefficients later for precision, thereby reducing overall calibration time while maintaining accuracy.
3Device complexity
If conventional background calibration is used with irregular signals such as burst mode or radar signals, then device complexity is reduced, but calibration accuracy deteriorates due to signal absence periods
Solution Approach 1:
The monitor circuit provides continuous feedback on signal presence and characteristics, enabling the calibration controller to adapt to irregular signal patterns. When signals are present, calibration proceeds normally; when signals are absent (as in burst mode or radar applications), the system detects this through the monitor circuit and freezes calibration to prevent divergence, thereby maintaining accuracy without requiring complex external control.
Solution Approach 2:
The calibration system becomes self-regulating through the monitor circuit, which automatically detects signal conditions and controls calibration activation/deactivation without external intervention. This self-service capability allows the system to handle irregular signals autonomously, maintaining calibration accuracy while avoiding the complexity of external control mechanisms.
Data Source
AI summary
An integrated circuit is described. The integrated circuit comprises an analog-to-digital converter circuit configured to receive an input signal at an input and generate an output signal at an output; and a monitor circuit coupled to the output of the analog-to-digital converter circuit, the monitor circuit configured to receive the output signal and to generate integration coefficients for the analog-to-digital converter circuit; wherein the integration coefficients are dynamically generated based upon signal characteristics of the output signal generated by the analog-to-digital converter circuit. A method of receiving data in an integrated circuit is also described.