Audio Connection Switching Based on Predicted Path Loss
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Solution Overview
Problem
Audio signals experience significant path loss when traveling through the body of a user, leading to audio drops in non-multipath environments, where there are fewer objects for reflection, while multipath environments reduce this loss due to reflected signal paths.
Innovation Solution
An audio drop prediction module predicts audio drops by analyzing signal strength, time of arrival, and signal loss data to switch the audio stream to a different connection with lower path loss, using techniques like UWB ranging and Bluetooth channel sounding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If audio signals are transmitted wirelessly through the human body (e.g., from left pocket to right ear), then audio connection flexibility is improved, but path loss increases significantly causing audio drops
Solution Approach 1:
The system performs preliminary detection of path loss conditions and predicts potential audio drops before they occur. By monitoring signal strength and analyzing path loss characteristics in advance, the system can proactively switch to alternative audio connections before audio quality deteriorates, thus resolving the contradiction between connection flexibility and signal stability
Solution Approach 2:
The system introduces an intermediary prediction module that acts as a mediator between the audio source and output device. This module analyzes path loss conditions and facilitates smooth transitions between different audio connections, enabling the system to maintain audio quality while preserving connection flexibility by selecting optimal transmission paths
2Reliability
If the system monitors and predicts audio drops in real-time, then audio stream reliability is improved, but device complexity increases
Solution Approach 1:
The system implements a feedback mechanism where the prediction module continuously monitors audio path conditions and uses this information to make real-time connection decisions. The module receives feedback about signal strength and path loss characteristics, processes this information, and automatically adjusts audio connection selection to maintain stream reliability without requiring complex manual intervention
Solution Approach 2:
The prediction module operates autonomously to detect path loss conditions and initiate connection switches without user intervention. The system self-manages the complexity of real-time monitoring and prediction, automatically selecting optimal audio connections based on detected conditions, thus improving reliability while keeping the user experience simple
Data Source
AI summary
In implementations, audio data packets of an audio stream are received by an audio output device. An audio drop of the audio stream is predicted based on an increase in path loss of signals exchanged between the audio output device and an audio source device, a decrease in the number of the signals that travel via reflected signal paths, and a threshold number of the signals being lost. Based on the audio drop prediction, broadcast signals are exchanged via multiple audio connections between multiple audio source devices and multiple audio output components of the audio output device. Further, an audio connection is selected based on signal strength data, time of arrival data, and signal loss data for each of the audio connections. A transfer of the audio stream is initiated to provide the audio data packets of the audio stream to the audio output device via the selected audio connection.