Timing Error Processor Using Interpolator Derivative
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Solution Overview
Problem
In analog-to-digital (ADC) systems, timing errors occur due to factors like frequency drift and thermal effects, leading to inaccurate sampling of data signals, which affects the detection efficiency, especially in systems with minimal or no oversampling.
Innovation Solution
The use of a timing error processor that employs an interpolator to adjust the timing of digitized signals based on a desired signal and error signals, with a least-mean-squared processing block determining a corrective phase shift using the derivative of the interpolator function to perform timing adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If timing adjustment is performed using conventional methods, then timing errors can be corrected, but the complexity of the processing system increases
Solution Approach 1:
The patent changes the functional form of the interpolator from a conventional approach to using a polynomial-based interpolator where the derivative with respect to timing offset is explicitly calculated and used in the LMS algorithm. This parameter change in the mathematical representation enables more efficient timing error correction
Solution Approach 2:
The patent replaces complex mechanical or hardware-based timing adjustment mechanisms with a software/mathematical approach using polynomial interpolation and derivative-based LMS algorithms. This substitution reduces physical complexity while maintaining timing correction capability
2Reliability
If oversampling is used to improve detection accuracy, then detection efficiency improves, but the system complexity and data processing load increase
Solution Approach 1:
The patent performs timing adjustment and correction as a preliminary action before the main detection process. By using polynomial interpolation to pre-correct timing offsets based on derivative calculations, the system prepares the signal in advance, enabling accurate detection without requiring oversampling
Solution Approach 2:
The patent changes the sampling strategy by using polynomial-based timing interpolation to achieve accurate timing alignment at the Nyquist rate without oversampling. This parameter change in the sampling approach maintains detection accuracy while reducing data processing requirements
Data Source
AI summary
A digitized signal is processed via an interpolator. The interpolator performs timing adjustment on the digitized signal. The error signal is determined based on a desired signal and the time-adjusted digitized signal. A corrective phase shift of the digitized signal is determined via a least-mean-squared processing block that uses the error and the derivative of a function used by the interpolator. The corrective phase shift is input to the interpolator to perform the timing adjustment.