Laser Microphone Audio Detection Using Spectral Bins
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Solution Overview
Problem
Existing LIDAR systems used for audio monitoring are often slow and inaccurate, necessitating the development of more efficient and precise technologies for audio detection.
Innovation Solution
A multiple beam LIDAR system that emits electromagnetic radiation based on a frequency pattern, receives reflected radiation, and processes combined frequency data to determine range or velocity, generating an audio signal through spectral analysis and beat frequency detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If known LIDAR systems are used for audio monitoring, then audio detection can be performed, but the system speed is slow and accuracy is poor
Solution Approach 1:
The patent divides the audio detection process into multiple spectral bins in the frequency domain, allowing parallel processing of different frequency components. This segmentation enables faster and more accurate audio detection by analyzing multiple frequency ranges simultaneously rather than sequentially.
Solution Approach 2:
The patent transforms the audio detection problem from the time domain to the frequency domain using spectral analysis. By defining spectral bins and analyzing frequency components, the system achieves higher precision and speed in detecting audio signals reflected from objects.
2Measurement precision
If spectral analysis is performed on combined frequency data, then audio detection accuracy improves, but processing time increases
Solution Approach 1:
The patent segments the frequency spectrum into multiple bins and processes them in parallel. By dividing the combined frequency data into manageable spectral components and analyzing them simultaneously, the system reduces overall processing time while maintaining high accuracy through comprehensive frequency analysis.
Solution Approach 2:
The patent performs preliminary spectral analysis to identify significant frequency components and their corresponding spectral bins before conducting detailed audio signal reconstruction. This preliminary identification allows the system to focus computational resources on the most relevant frequency ranges, reducing unnecessary processing time.
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 enhances the speed and accuracy of audio detection, effectively addressing inaccuracies caused by object vibrations and improving audio monitoring in various applications, including wearable devices and automotive environments.
Implementation Method 1
a laser configured to produce emitted electromagnetic radiation based on a frequency pattern, a receiver configured to receive reflected electromagnetic radiation reflected from an object, and an analyzer configured to define combined frequency data based on a frequency of the emitted electromagnetic radiation and a frequency of the reflected electromagnetic radiation
Implementation Method 2
The analyzer can be configured to iteratively perform spectral analysis on the combined frequency data until a beat frequency is determined based on a threshold condition
Data Source
AI summary
A laser microphone can include a detection system including plurality of laser subsystems. The detection system can be configured to produce emitted electromagnetic radiation based on a frequency pattern and receive reflected electromagnetic radiation reflected from an object. The detection system can be configured to define combined frequency data based on a frequency of the emitted, electromagnetic radiation and a frequency of the reflected electromagnetic radiation. The detection system can be configured to define a set of spectral bins in a frequency domain based on the combined frequency data, modify the combined frequency data based on a datapoint obtained from a subset of the set of spectral bins, and define at least one of a range or a velocity based on the combined frequency data. The laser microphone can include an audio processor configured to define an audio signal based on the at least one of the range or velocity.