Feedback Circuit Tuning via SNDR Estimation
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Solution Overview
Problem
Feedback circuits with amplifiers face challenges in maintaining optimal stability and performance across various process, voltage, and temperature (PVT) variations, distortion, and noise, especially in non-tuneable amplifier circuits, which can lead to suboptimal performance.
Innovation Solution
A method that measures amplitude values at the input and output of a feedback circuit with tuneable components, estimates the linear open-loop gain and finite gain error, derives a signal-to-noise-plus-distortion ratio (SNDR) estimate, and adjusts the circuit settings to optimize performance by using this SNDR estimate for tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a non-tuneable amplifier circuit is used across all PVT variation corners, then the device complexity is reduced, but the stability deteriorates
Solution Approach 1:
The patent introduces tuneable components (such as variable gain elements or programmable amplifiers) that allow the amplifier circuit to dynamically adjust its parameters based on operating conditions. This enables the circuit to maintain optimal stability across different PVT corners while still using a relatively simple base architecture, resolving the contradiction between simplicity and stability.
Solution Approach 2:
The patent employs background calibration techniques that measure and adjust circuit parameters (such as gain, bandwidth, or pole locations) to compensate for PVT variations. By changing key parameters through calibration rather than redesigning the entire circuit, the patent maintains stability without significantly increasing device complexity.
2Stability of the object's composition
If background calibration is performed to maintain optimal performance, then the stability is improved, but the loss of time increases
Solution Approach 1:
The patent performs background calibration during manufacturing or initialization phases before the device is put into normal operation. By completing the time-consuming calibration measurements and adjustments in advance, the patent ensures optimal stability is achieved without adding calibration time to the device's operational timeline.
Solution Approach 2:
The patent implements self-calibration mechanisms where the circuit automatically measures its own parameters and adjusts its tuneable components without external intervention. This autonomous calibration process reduces the time overhead by eliminating manual calibration steps and allows the system to self-optimize across PVT variations.
3Adaptability or versatility
If ring amplifier with dynamic self-stabilization mechanism is used, then the adaptability is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent introduces intermediary measurement circuits or test nodes that provide accessible points for observing the internal state of the ring amplifier. These intermediaries translate complex dynamic behaviors into measurable signals, making it easier to characterize and control the amplifier's stability without simplifying the amplifier's adaptive functionality.
Data Source
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AI summary
The present invention relates to a method for improving performance of a feedback circuit comprising an amplifier and a feedback network, whereby the feedback circuit has at least one tuneable component. The method comprises - measuring a first plurality of amplitude values at an input of the amplifier (VX) and a second plurality of amplitude values at an output of the amplifier (VOUT) given a first setting of the feedback circuit, - estimating a linear open-loop gain of the amplifier (AOL) based on the first and the second plurality of amplitude values, - estimating a linear finite gain error (egain) based on the estimated linear open-loop gain and the second plurality of amplitude values, - subtracting the linear finite gain error (egain) from the first plurality of amplitude values to derive a set of processed samples containing error information different from the linear finite gain error, - deriving an signal-to-noise-plus-distortion ratio estimate based on the variance of the set of processed samples and a variance of the second plurality of amplitude values, - adjusting the first setting of the feedback circuit in accordance with the signal-to-noise-plus-distortion ratio estimate.