Loop Filter Gain Updating Using Timing Error Estimation
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Solution Overview
Problem
Conventional loop filters face challenges in accurately updating gain values due to external noise monitoring difficulties and require costly hardware for complex calculations, such as those involved in Kalman filters, which can lead to improper timing signal recovery.
Innovation Solution
A method to update loop filter gains using a timing signal estimator, timing error estimator, error covariance calculator, and gain calculator, which determines current gain values without external noise monitoring, utilizing simple hardware components like multipliers, summers, and subtractors, allowing for 'on-the-fly' adjustments of proportional and integral gains within the loop filter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a Kalman filter is used to estimate gain values, then the accuracy of gain estimation is improved, but the hardware complexity and cost increase due to complicated calculations and external noise monitoring
Solution Approach 1:
The patent extracts and eliminates the external noise monitoring component from the Kalman filter implementation. By removing the need to monitor external noise, the system avoids the complicated calculations and hardware complexity associated with traditional Kalman filters while maintaining gain estimation functionality through an alternative approach using timing error signals.
Solution Approach 2:
The patent replaces the expensive and complex Kalman filter hardware with a simpler, more cost-effective solution. The new implementation uses basic computational operations on timing error signals rather than the sophisticated noise monitoring and division operations required by traditional Kalman filters, achieving comparable or sufficient accuracy at lower hardware cost.
2Reliability
If external noise monitoring is implemented to obtain correct Kalman filter gain, then the reliability of gain estimation is improved, but the ease of operation deteriorates due to difficulty in monitoring external noise
Solution Approach 1:
The patent enables the system to self-determine gain values using internally generated timing error signals without requiring external noise monitoring. The timing error detector and processing circuitry automatically provide the necessary information for gain estimation, making the system self-sufficient and eliminating the operational difficulty of monitoring external noise.
3Ease of manufacture
If conventional gain estimation through modeling and simulation is used, then the ease of manufacture is improved, but the adaptability to actual operating conditions deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the timing error detector continuously monitors the actual timing errors in the system, and this information is fed back to dynamically adjust the gain values. This closed-loop approach allows the system to adapt to actual operating conditions in real-time, overcoming the limitations of static gains determined through modeling and simulation.
Solution Approach 2:
The patent transitions from static gain values determined through modeling to dynamic gain values that continuously adapt to changing operating conditions. By using real-time timing error signals to determine and update gain values, the system becomes dynamic and responsive to actual system behavior rather than relying on predetermined theoretical values.
Data Source
AI summary
For updating a gain of a loop filter from a timing error signal, a timing signal estimator generates a current timing signal estimation value from a prior timing error estimation value, a prior gain value, and a prior timing signal estimation value. A timing error estimator generates a current timing error estimation value from a timing error accumulation value and the current timing signal estimation value. A current gain value of the loop filter is determined from the current timing error estimation value.