IR-UWB Audio Sensing for Separating Multiple Sound Sources
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Solution Overview
Problem
Conventional microphone-based sound detection systems struggle to isolate individual sound events from multiple sources due to mixing of sounds from spatially separated sources, leading to challenges in separating acoustic events from background noise and other acoustic events of interest.
Innovation Solution
Utilizing Impulse Radio Ultra-Wideband (IR-UWB) technology to sense sound directly from source vibrations, enabling sound separation and recovery in non-line-of-sight conditions by employing RF signals to penetrate building materials and accurately estimate Time-of-Flight (ToF) of reflected pulses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional microphones are used to capture sound, then the overall sound pressure wave is captured, but individual sound events from spatially separated sources cannot be isolated
Solution Approach 1:
The patent replaces the mechanical microphone-based acoustic sensing system with an electromagnetic RF sensing system. The RF sensor captures vibrations at the sound source directly through electromagnetic interaction, bypassing the mechanical sound pressure wave capture limitation of microphones. This substitution enables direct measurement of source vibrations without capturing mixed acoustic fields from multiple sources.
Solution Approach 2:
The patent introduces RF signals as an intermediary medium to sense sound source vibrations. Instead of directly capturing acoustic pressure waves, the system uses RF electromagnetic waves to interact with and detect vibrations at the sound source. This intermediary approach allows for direct source measurement and enables separation of sounds from multiple sources through spatial resolution.
2Measurement precision
If a large-scale microphone array is deployed to separate sound sources, then sound separation capability is improved, but device complexity and infrastructure requirements increase
Solution Approach 1:
The patent replaces the complex mechanical microphone array infrastructure with a single or minimal RF sensing system. By substituting electromagnetic sensing for mechanical acoustic sensing, the system achieves sound source separation without requiring large-scale arrays of microphones, thereby dramatically reducing device complexity and infrastructure requirements.
Solution Approach 2:
The patent changes the fundamental sensing parameter from acoustic pressure (microphone domain) to vibration detection at the source (RF domain). This parameter change enables a single RF sensor to achieve what previously required complex arrays of microphones, as the RF system directly measures source vibrations rather than capturing propagated acoustic fields that require spatial sampling.
3Adaptability or versatility
If microphones capture all sounds in the environment, then comprehensive acoustic monitoring is achieved, but background noise and sounds from other sources cannot be eliminated
Solution Approach 1:
The patent replaces the passive acoustic capture approach with active RF-based vibration sensing. By substituting electromagnetic sensing for mechanical acoustic sensing, the system selectively detects vibrations at the sound source without capturing propagated background noise from other sources, thereby maintaining adaptability for acoustic event detection while eliminating background noise interference.
Solution Approach 2:
The patent extracts only the relevant vibration information directly from the sound source using RF sensing, while leaving out the unwanted background noise and sounds from other sources. By taking out only the specific vibration signal of interest at the source location, the system achieves comprehensive acoustic monitoring capability without the harmful effect of background noise contamination.
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
IR-UWB systems can effectively separate sounds from multiple sources, even in challenging environments, while being immune to non-target noise, and operate in non-line-of-sight scenarios, allowing for robust sound recovery and localization.
Implementation Method 1
transmit the radio signal using the transmitter circuitry
Implementation Method 2
receive one or more backscattered signals at the receiver circuitry
Implementation Method 3
accurately estimate Time-of-Flight (ToF) of reflected pulses
Data Source
AI summary
Systems and methods for simultaneously recovering and separate sounds from multiple sources using Impulse Radio Ultra-Wideband (IR-UWB) signals are described. In one embodiment, a device can be configured for generating an audio signal based on audio source ranging using ultrawideband signals. In an embodiment the device includes, a transmitter circuitry, a receiver circuitry, memory and a processor. The processor configured to generate a radio signal. The radio signal including an ultra-wideband Gaussian pulse modulated on a radio-frequency carrier. The processor further configured to transmit the radio signal using the transmitter circuitry, receive one or more backscattered signals at the receiver circuitry, demodulate the one or more backscattered signals to generate one or more baseband signals, and generate a set of data frames based on the one or more baseband signals.