Wireless Audio Synchronization Using Predicted TSF Timing
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Solution Overview
Problem
Wireless network devices experience varying response times for TSF read operations, leading to increased latency and computational requirements, which result in inaccurate and noisy TSF data due to inconsistent time delays.
Innovation Solution
A system and method for wireless audio distribution using a transmitter and receiver with multiple radio chains, employing frequency and coding diversity to reduce latency, and a synchronization module that compensates for TSF read delays through prediction models and interpolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If periodic TSF read operations are performed to maintain synchronization, then synchronization is maintained, but latency increases and computational requirements increase
Solution Approach 1:
The system performs preliminary actions by predicting future TSF values based on historical read delay patterns before the actual read operation completes. This allows the audio processing system to proceed with timing information without waiting for the actual TSF read to complete, thereby reducing latency while maintaining synchronization accuracy.
Solution Approach 2:
The system uses feedback mechanisms by continuously monitoring actual TSF read delays and using this information to refine future predictions. The predicted TSF values are compared with actual values, and the difference is used to adjust subsequent predictions, creating a feedback loop that improves accuracy over time while reducing waiting time.
2Measurement precision
If TSF read operations wait for complete hardware querying, then accurate TSF values are obtained, but time delay increases and data becomes noisy
Solution Approach 1:
The system performs preliminary action by estimating TSF values before complete hardware querying finishes. By using predictive models based on historical delay patterns, the system can proceed with audio processing using predicted values rather than waiting for complete hardware queries, reducing time delay while maintaining acceptable accuracy.
Solution Approach 2:
The system introduces an intermediary approach by using predicted TSF values as a mediator between the hardware query and the audio processing system. This predicted value serves as a temporary substitute that reduces waiting time, and is later refined or corrected based on actual hardware query results, thereby reducing noise in the timing data.
3Loss of time
If frequent TSF reads are performed to reduce latency, then timing accuracy improves, but computational requirements increase
Solution Approach 1:
The system performs preliminary action by predicting TSF values in advance, allowing the audio processing system to proceed without frequent actual reads. This reduces the frequency of computational TSF read operations while maintaining low latency through prediction-based timing information.
Solution Approach 2:
The system uses feedback to optimize the balance between read frequency and accuracy. By monitoring the relationship between predicted and actual TSF values, the system can adjust the prediction model and read frequency dynamically, reducing computational requirements while maintaining timing accuracy.
Data Source
AI summary
A system and method for wireless audio distribution. A transmitter device including at least two radio chains is configured to transmit audio data over respective channels. The system includes at least one receiver device including at least two radio chains configured to receive the audio data. The system includes a synchronization module configured to compensate for TSF read delays and predict subsequent TSF values using a prediction model. The transmitter device and the at least one receiver device utilize frequency diversity or coding diversity across the radio chains to reduce latency and maintain synchronization of the audio data.