Programmable Analog Acoustic Detection for Low-Power Wake-Up
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional acoustic activity detection systems consume high power, leading to increased device weight, size, and reduced battery life, and are inflexible, expending energy on irrelevant acoustic signals.
Innovation Solution
A low-power programmable analog subsystem that includes a programmable analog discrimination system and feedback circuit, allowing adjustable thresholds and parameters without digital processing, to discriminate between relevant and irrelevant acoustic signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional processing units are used for acoustic activity detection, then detection capability is achieved, but power consumption increases significantly
Solution Approach 1:
The patent replaces digital processing units with an analog subsystem that performs acoustic activity detection using analog circuits. The analog signal from the microphone is processed directly in the analog domain through amplification, filtering, and detection circuits, eliminating the need for analog-to-digital conversion and digital signal processing. This substitution of analog processing for digital processing significantly reduces power consumption while maintaining detection capability.
Solution Approach 2:
The patent extracts and isolates only the essential acoustic activity detection function from the full digital processing chain. By implementing a dedicated analog subsystem that handles only the detection of acoustic activity without performing full audio processing, the system eliminates unnecessary power-consuming operations while retaining the core detection capability.
2Measurement precision
If processing units continuously monitor all acoustic signals, then detection accuracy is maintained, but energy is wasted on irrelevant signals
Solution Approach 1:
The patent implements local quality by designing an analog subsystem with specific characteristics optimized for detecting certain types of acoustic activities. The analog filters and detection circuits are configured to respond selectively to relevant acoustic patterns while naturally attenuating irrelevant signals. This localized optimization allows the system to maintain high detection accuracy for target acoustic activities without expending energy on processing all possible acoustic signals.
Solution Approach 2:
The patent employs dynamic thresholding mechanisms in the analog detection circuitry that adapt to ambient acoustic conditions. The detection threshold automatically adjusts based on the background noise level, allowing the system to maintain high detection accuracy across varying environments without continuous calibration or processing. This dynamic adaptation reduces energy waste by avoiding false triggers while maintaining sensitivity to relevant acoustic activities.
Data Source
AI summary
A method includes receiving a first signal, wherein the first signal is an audio signal. The method further includes providing the first signal to a first comparison circuit. The method further includes providing the first signal to a second comparison circuit. The method further includes receiving, from the first comparison circuit, a first comparison signal. The method further includes receiving, from the second comparison circuit, a second comparison signal. The method further includes providing a wake-up signal to a processing device based on the first comparison signal and the second comparison signal.


