Automotive Audio Playback Verification Using Embedded FSK Codes
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Solution Overview
Problem
Existing methods for monitoring safety-relevant audio signals in automotive applications are complex and prone to errors due to ambient noise and changing signal path conditions, failing to reliably verify the correct playback of audio signals in the analog domain.
Innovation Solution
A system that combines audio signals with identification signals using frequency-shift keying (FSK), allowing for verification of correct playback by processing a narrow frequency band, reducing complexity and increasing reliability through the use of a verifying module that demodulates and compares identification codes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full frequency domain analysis is used to monitor audio signals, then monitoring coverage is improved, but system complexity increases
Solution Approach 1:
The patent segments the audio signal monitoring into two independent parts: the original audio signal and the identification signal. By separating these signals and monitoring them independently, the system achieves comprehensive monitoring coverage without requiring complex full-frequency domain analysis of the combined signal, thus reducing overall system complexity.
Solution Approach 2:
The identification signal acts as an intermediary element that facilitates monitoring. Instead of directly analyzing the complex original audio signal, the system uses the simpler identification signal as a mediator to verify audio playback, significantly reducing the computational complexity while maintaining reliable monitoring coverage.
2Measurement precision
If full frequency domain analysis is used to monitor audio signals, then monitoring accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent extracts the identification signal from the combined audio signal for separate monitoring. This extraction allows the system to achieve accurate monitoring by focusing computational resources on detecting the specific identification signal characteristics rather than performing complex full-frequency domain analysis of the entire audio spectrum.
Solution Approach 2:
The system changes the monitoring parameter from analyzing the full frequency domain of the original audio signal to detecting specific parameters of the identification signal (such as frequency, amplitude, or temporal characteristics). This parameter change significantly reduces computational complexity while maintaining or improving monitoring accuracy.
3Reliability
If ambient noise and signal path variations are considered in monitoring, then monitoring robustness is improved, but system complexity increases
Solution Approach 1:
The identification signal is embedded in the audio signal before playback, serving as a pre-prepared reference that inherently accounts for signal path variations. This preliminary action allows the monitoring system to compare the expected identification signal characteristics with the actual received signal, providing robustness against ambient noise and path variations without requiring complex real-time adaptive processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively minimizes the impact of ambient noise and changing signal conditions, providing a reliable method for monitoring audio playback with reduced complexity, ensuring accurate detection of audio signal presence and integrity.
Implementation Method 1
A system that combines audio signals with identification signals using frequency-shift keying (FSK), allowing for verification of correct playback by processing a narrow frequency band
Data Source
AI summary
Disclosed are systems and methods for playback and monitoring of playback of audio signals. In an aspect, a system includes an audio signal generating module configured to generate an audio signal; an identification signal generating module configured to generate an identification signal associated with the audio signal; a combining module configured to combine the audio signal and the identification signal into a combined audio signal; a playback module configured to play back a sound based on the combined audio signal; and a verifying module configured to process the played back sound in order to verify that the played back sound contains the identification signal.