Dual-Channel ADC Error Correction With Cyclic Correlation Updates
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Solution Overview
Problem
Existing error estimation correction methods for dual-channel time division multiplexing analog-to-digital converters (ADCs) face challenges in achieving high accuracy and fast convergence due to the need for a large number of sample points, which increases processing time and reduces real-time correction efficiency.
Innovation Solution
A device and method utilizing a dual-channel time division multiplexing ADC with an adaptive digital signal processor that employs a reference clock and correction clock for error estimation, incorporating a gradient descent method to update correction parameters, and utilizing cyclic correlation for preliminary estimation, thereby reducing the number of sample points required and enhancing convergence rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If many sample points of the valid input sampling signal are used in a single estimation, then the accuracy of error estimation is improved, but the time used for the single estimation is increased and the convergence rate of the real-time estimation correction is reduced
Solution Approach 1:
The patent divides the error estimation process into multiple segments, where each segment uses a limited number of sample points to perform partial estimation. The results from multiple segments are then accumulated and combined to achieve the final accurate error estimation. This segmentation allows the system to maintain high accuracy through cumulative processing while reducing the time burden of any single estimation operation, thereby improving convergence rate.
2Measurement precision
If many sample points of the valid input sampling signal are used in a single estimation, then the accuracy of error estimation is improved, but the convergence rate of the real-time estimation correction is reduced
Solution Approach 1:
The patent implements continuous error estimation correction by performing multiple partial estimations in succession, each using a manageable number of sample points. Rather than waiting for a complete set of sample points for a single comprehensive estimation, the system continuously accumulates estimation results from multiple smaller processing cycles. This continuous action maintains high convergence rate while achieving accurate error estimation through persistent correction operations.
3Productivity
If a few sample points of the valid input sampling signal are used for estimation, then the processing time is reduced and convergence rate is improved, but the estimation effect is poor and estimation error increases
Solution Approach 1:
The patent merges multiple partial error estimation results from different sample point sets into a cumulative correction. Each individual estimation using few sample points contributes a portion of the total correction, and these partial corrections are combined over time to achieve the complete accurate correction. This merging approach allows the system to benefit from fast processing of individual segments while achieving high accuracy through the aggregation of multiple estimations.
Data Source
AI summary
The present invention provides a device and method for correcting error estimation of an analog-to-digital converter. The method comprises: according to a preset initial value of a correction parameter, generating a control signal and finely tuning a digital control delay cell, adjusting a delay amount, and correcting a clock phase error between channels; according to the initial value of a correction parameter, correcting a gain error between channels, generating a general correction signal, buffering the general correction signal and triggering a counting cell to start counting, and meanwhile calling the general correction signal in a buffer and generating a preliminary estimation result by using a cyclic correlation method; when counting up to a preset value, setting enable ends of a low-pass filter accumulating cell and a correction parameter updating cell, generating an error estimation result from the preliminary estimation result and latching the error estimation result, updating a clock correction parameter and a gain correction parameter according to a gradient descent method, and latching the updated clock correction parameter and gain correction parameter, and resetting to carry out cyclic estimation correction. According to the present invention, in the case where a few effective sample points are used, the estimation accuracy is improved and the convergence rate of the estimation correction is increased.