In-Vehicle Radio Receiver Audio Abnormality Detection
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Solution Overview
Problem
Current methods for testing in-vehicle radio broadcast receivers are time-consuming, resource-intensive, and unreliable, as they rely on human detection of audio abnormalities during vehicle testing, making it difficult to reproduce and address unwanted sound effects like chirps, which can be dangerous for drivers.
Innovation Solution
A method using a splitter to split radio signals, with one stream going to the receiver and another to a tester and recorder device equipped with AI for automatic detection of audio abnormalities, allowing for data recording and reproduction without the need for repeated vehicle testing, and incorporating software-defined radio receivers to handle different transmission modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If in-vehicle tests are performed with human drivers to detect audio abnormalities, then detection capability is provided, but testing time and resources increase significantly
Solution Approach 1:
The patent replaces the mechanical system of human drivers listening and detecting audio abnormalities with an automated electronic detection system. The tester and recorder device automatically analyzes audio signals from the radio broadcast receiver, using digital signal processing to detect chirps and other abnormalities without requiring human drivers to spend hours driving and listening.
Solution Approach 2:
The testing system performs self-service by automatically conducting tests, analyzing results, and generating reports without continuous human intervention. The automated system can independently drive the vehicle (or control test equipment), monitor audio output, detect abnormalities, and record data, eliminating the need for human drivers to perform repetitive testing tasks.
2Ease of operation
If human drivers perform audio abnormality detection by ear, then detection is possible, but reliability and consistency decrease
Solution Approach 1:
The patent replaces the human auditory system with electronic sensors and digital signal processing algorithms. The automated detection system consistently identifies audio abnormalities such as chirps through objective measurement rather than subjective human perception, eliminating variability between different drivers and providing reliable, repeatable detection results.
3Measurement precision
If repeated vehicle testing is performed to reproduce audio abnormalities, then detection accuracy improves, but testing costs and time increase
Solution Approach 1:
The patent creates digital copies of audio signals and test conditions that can be reproduced and analyzed repeatedly without physical vehicle testing. The system records audio signals during testing and can replay them for detailed analysis, allowing multiple examinations of the same test data without requiring additional vehicle test time or resources.
4Reliability
If comprehensive in-vehicle testing is conducted to catch audio abnormalities, then detection coverage improves, but resource consumption increases
Solution Approach 1:
The automated testing system performs comprehensive detection coverage without requiring multiple human drivers or extensive manual testing resources. The electronic system can continuously monitor audio output across various test conditions, maintaining high detection coverage while minimizing human resource consumption to just the operators who configure and supervise the automated system.
Data Source
AI summary
The method includes splitting a radio signal received at an in-vehicle antenna into two RF streams, and at the device under test, converting the first RF stream into a demodulated audio signal and transmitting it to the tester and recorder device. The tester and recorder device also receives the demodulated audio signal, determines a spectrum of frequencies over time, inputs the spectrum of frequencies into an artificial intelligence (AI) module of audio abnormality detection. The device also receives the second RF stream, converts it into a data signal, and records the data signal into a temporary storage memory. Then, when the AI module outputs of a positive detection of audio abnormality, the device transfers data from the temporary storage memory into a permanent storage memory, where the transferred data corresponds to a time window including the detected audio abnormality.