Millimeter-Wave Sensor Guidance for Adaptive Microphone Beams
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Solution Overview
Problem
Current beamforming microphone arrays suffer from non-optimized beam forming parameters, leading to suboptimal beam position and coverage, inability to distinguish between voice and noise, and susceptibility to false positives, especially in dynamic environments.
Innovation Solution
Implementing a millimeter wave sensor system to determine user locations and generate a three-dimensional image of the area, which is used by an adaptive beamforming circuit to adjust beam parameters, ignore noise, and focus on specific sound sources, while incorporating acoustic echo cancellation and gesture recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a dynamic beamformer is used to adapt beams to talking positions, then the system can track user locations and improve voice capture, but the system becomes susceptible to false positives and cannot distinguish between voice and noise
Solution Approach 1:
The system segments the audio signal processing into multiple independent analysis streams: millimeter wave sensor data for location detection, acoustic signal processing for voice detection, and noise analysis. Each stream operates independently and their results are combined to make beamforming decisions, preventing any single unreliable stream from causing false positives
Solution Approach 2:
The millimeter wave sensor acts as an intermediary that provides independent verification of user presence and location. Rather than relying solely on acoustic signals to determine beam direction, the system uses the mmWave sensor as a mediator to confirm actual user presence before directing beams, thereby filtering out false positives from noise sources
2Area of stationary object
If beam coverage areas are made large to cover spaces where people are likely to be located, then more users can be covered, but the S/N performance decreases especially for positions at significant distance
Solution Approach 1:
The beamforming system dynamically adjusts beam parameters including direction, width, and focus based on real-time user location data from millimeter wave sensors. When a user is detected at a specific position, the system dynamically narrows and focuses the beam on that position, maintaining high S/N ratio even while covering large overall areas through multiple adaptive beam positions
Solution Approach 2:
The system changes beam parameters (direction angles, beamwidth, gain) based on detected user positions. When users are located at significant distances, the system adjusts beam parameters to optimize focus and gain for those specific positions, maintaining signal-to-noise ratio across varying distances and coverage requirements
3Reliability
If sophisticated software and additional manual setup are used to reduce false positives, then noise filtering improves, but the system complexity and cost increase
Solution Approach 1:
The system replaces complex acoustic-based automatic beamforming with a simpler hybrid approach using millimeter wave sensing for location detection. The mmWave sensors provide direct, non-acoustic measurement of user presence and position, eliminating the need for sophisticated acoustic analysis software to distinguish voice from noise, thereby reducing computational complexity while improving reliability
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
Enhances audio quality by optimizing beamforming to accurately capture voice signals and reduce noise, improving the reliability and adaptability of microphone arrays in dynamic settings.
Implementation Method 1
a millimeter wave sensor system to determine user locations and generate a three-dimensional image of the area
Implementation Method 2
an adaptive beamforming circuit to adjust beam parameters, ignore noise, and focus on specific sound sources
Implementation Method 3
incorporating acoustic echo cancellation and gesture recognition
Data Source
AI summary
A method for operating a beamforming microphone array for use in a predetermined area is provided herein, the method comprising: receiving acoustic audio signals at each of a plurality of microphones, converting the same to an electrical mic audio signal, and outputting each of the plurality of electrical mic audio signals; generating a user location data signal by a wave sensor system, and outputting the user location data signal, wherein the user location data signal includes location information of one or more people within the predetermined area; receiving both the user location data signal and plurality of echo-corrected mic audio signals at an adaptive beamforming device; and adapting one or more beams by the adaptive beamforming device based on the user location data signal and plurality of mic audio signals wherein each of the one or more beams acquires sound from one or more specific locations in the predetermined area.