Spike Neuron Wake-Up Circuit for Low-Power Noise-Robust Sensor Nodes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wake-up circuits for sensor nodes often consume excessive power and have complex structures, making them inefficient for reducing battery consumption and increasing operating time.
Innovation Solution
A spike neuron-based wake-up circuit is proposed, comprising a preprocessing unit, a comparison unit with a spike neuron network structure, an output circuit, and a micro control unit, which together consume low power, are robust to external noise, and have a simple structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If a conventional wake-up circuit is implemented, then the sensor node can detect external data, but the power consumption is excessive and the structure is complex
Solution Approach 1:
The patent replaces conventional electronic circuit components with a spike neuron network structure that mimics biological neural processing. This substitution enables the wake-up circuit to process signals with lower power consumption and simpler structure by utilizing spike-based temporal coding and neural integration mechanisms rather than traditional electronic signal processing
Solution Approach 2:
The patent changes the operating parameters of the wake-up circuit by using spike timing and frequency as key signal carriers instead of continuous analog signals. The neural integration mechanism accumulates spike inputs over time, and the wake-up decision is triggered when accumulated potential reaches a threshold, enabling efficient low-power operation
2Reliability
If the sensor node waits for external data in standby mode, then it can detect data when needed, but unnecessary power is consumed during waiting periods
Solution Approach 1:
The sensor node operates in periodic cycles, alternating between low-power standby mode and active detection mode. The spike neuron-based wake-up circuit continuously monitors for wake-up signals in standby mode with minimal power consumption, and only when a valid wake-up signal is detected does the node transition to active mode to perform full data processing
Solution Approach 2:
The wake-up circuit autonomously monitors incoming signals and automatically triggers the sensor node to wake up when detection is needed, without requiring continuous active operation of the main processing unit. The neural network structure inherently performs signal integration and threshold comparison, enabling automatic wake-up decisions
3Use of energy by stationary object
If a simple wake-up circuit structure is used, then power consumption is reduced, but robustness to external noise deteriorates
Solution Approach 1:
The patent replaces traditional noise filtering circuits with a spike neuron network that inherently provides noise robustness through temporal integration and threshold-based spike generation. The neural integration mechanism accumulates spike inputs over time, allowing it to distinguish between random noise spikes and meaningful sustained wake-up signals, maintaining reliability without increasing power consumption or circuit complexity
Data Source
AI summary
Disclosed is a wake-up circuit including a preprocessing unit that generates a first signal by removing noise from an input signal, a comparison unit that generates a second signal based on the first signal and weight data, an output circuit that generates a power signal based on the second signal and an initialization signal, and a micro control unit (MCU) that generates the initialization signal based on a state signal received from the output circuit. The comparison unit includes a spike neuron network structure that generates the second signal by applying the weight data to the first signal. The output circuit supplies power to an external sensor node in response to the power signal.