Adaptive Filter Coefficient Updates Using Real-Time Clock Timing
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Solution Overview
Problem
Conventional adaptive filtering arrangements face difficulties in accurately and efficiently updating filter coefficients under varying operating conditions in communication systems.
Innovation Solution
The use of a real-time clock to generate time indicators for determining adaptive filter coefficients, allowing for predictive updates based on deterministic time-based variations, such as interference patterns, to improve filtering performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If adaptive filter coefficients are updated periodically using conventional algorithms, then the filter can adapt to changing conditions, but it cannot accurately anticipate predictable interference patterns
Solution Approach 1:
The system performs preliminary action by updating adaptive filter coefficients in advance based on predictable time-based interference patterns. The real-time clock triggers coefficient updates before the actual interference occurs, allowing the filter to be pre-configured to cancel upcoming deterministic interference rather than reacting to it after detection.
2Adaptability or versatility
If the filter adapts to all varying operating conditions, then it can handle diverse scenarios, but it cannot distinguish between random variations and predictable patterns
Solution Approach 1:
The system applies periodic action by using the real-time clock to trigger adaptive filter coefficient updates at regular, predictable intervals corresponding to known interference patterns. This periodic triggering allows the filter to distinguish between random variations and systematic, time-based interference patterns, updating coefficients only when predictable interference is anticipated.
3Ease of manufacture
If conventional adaptive algorithms are used, then the implementation is straightforward, but the filtering performance under varying conditions is insufficient
Solution Approach 1:
The real-time clock serves as an intermediary component that bridges the simple conventional adaptive algorithm and the need for improved filtering performance. By using the clock to trigger coefficient updates at predictable intervals, the system maintains implementation simplicity while achieving reliable filtering performance through time-synchronized adaptation to periodic interference patterns.
Data Source
AI summary
A transceiver comprises a transmitter and a receiver. At least one of the transmitter and the receiver comprises an adaptive filer. One or more coefficients of the adaptive filter are determined based at least in part on an output of a real time clock. The adaptive filter may comprise a coefficient update engine and a memory for storing a plurality of sets of adaptive filter coefficients in association with respective time indicators derived from the output of the real time clock, with the coefficient update engine being configured to determine a particular one of the sets of filter coefficients for use by the adaptive filter based at least in part on at least a subset of the time indicators. The time indicators may comprise respective time stamps generated based on the output of the real time clock at respective times at which the corresponding sets of coefficients are determined.