Synchronous Carrier Detection Using Phase-Range Moving Averages
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Solution Overview
Problem
Conventional synchronous detection devices face challenges in accurately detecting target carrier waves due to noise components generated by analog amplifying circuits and environmental susceptibility, which affects precision and reliability, especially when implemented in chip form.
Innovation Solution
A synchronous detection method that averages input signals over specific phase ranges of the target carrier wave to calculate moving averages and differences, eliminating the need for analog amplifiers and improving environmental resistance by using a digital moving-average unit and calculating units to extract the target carrier wave.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If analog amplifying circuits are used in synchronous detection devices, then signal amplification is achieved, but noise components are generated and environmental susceptibility increases
Solution Approach 1:
The patent replaces analog amplifying circuits with digital signal processing techniques. Specifically, it uses digital correlation detection where the input signal is multiplied by a reference signal and integrated over time to achieve signal detection without analog amplification. This substitution eliminates the noise and environmental susceptibility inherent in analog amplifiers while maintaining detection sensitivity through the correlation process.
Solution Approach 2:
The patent generates a digital reference signal that is a copy of the expected target signal waveform and uses it for correlation detection. By comparing the input signal with this reference copy through multiplication and integration, the system can detect the target signal without requiring analog amplification, thereby avoiding the associated noise and environmental issues.
2Ease of operation
If analog amplifying circuits are used in synchronous detection devices, then signal processing is enabled, but device complexity and cost increase
Solution Approach 1:
The patent replaces complex analog amplifying and filtering circuits with simpler digital signal processing operations. The digital correlation detector uses basic digital operations (multiplication, addition, and storage) to achieve signal detection, eliminating the need for precision analog components, amplifiers, and analog filters, thereby reducing device complexity and cost.
Solution Approach 2:
The patent implements a universal digital signal processing architecture that can detect multiple different target signals by simply changing the reference signal stored in memory. This multi-functional capability replaces the need for separate analog amplifying circuits for each signal type, reducing overall device complexity while maintaining full signal processing capability.
3Measurement precision
If conventional synchronous detection methods are used, then target carrier wave detection is achieved, but high frequency noise components remain in the output
Solution Approach 1:
The patent replaces analog filtering methods with digital integration over the signal period. By multiplying the input signal by the reference signal and integrating over one complete period of the target carrier wave, the system naturally rejects high-frequency noise components through the orthogonality property of sinusoidal functions, achieving noise reduction without analog filters.
Solution Approach 2:
The patent utilizes periodic integration over exactly one period of the target carrier wave. This periodic action exploits the fact that the integral of the product of sinusoidal functions with different frequencies over a complete period is zero, thereby eliminating high-frequency noise while preserving the target signal component.
Data Source
AI summary
In a synchronous detection method, an input signal is averaged over at least first and second phase ranges of a target carrier wave within each period thereof to obtain at least first and second moving average values of the input signal within the at least first and second phase ranges, respectively. The first phase range corresponds to a positively oscillating phase range of the target carrier wave, and the second phase range corresponds to a negatively oscillating phase range thereof. A difference between the first and second moving averages is calculated as a detection result of the target carrier wave.