Microwave detection device and its detection method and application
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Solution Overview
Problem
Conventional microwave detectors cannot accurately detect fine movements, such as breathing or heartbeat, due to limitations in signal amplification and interference filtering, which restricts their application in intelligent or smart devices.
Innovation Solution
A microwave detection device that processes wave signals to determine movement characteristics by converting differential signals into wave signals using frequency, phase, amplitude, or pulse width changes, and amplifies these signals in ultra-low frequency ranges to minimize interference, allowing for the detection of subtle human body movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the Doppler signal is filtered to remove high frequency signals and interfering signals, then signal interference is minimized, but the Doppler signal cannot be over-magnified and fine movements cannot be detected
Solution Approach 1:
The patent divides the signal processing into two distinct paths: a first signal processing path that filters and processes high-frequency Doppler signals for coarse movement detection, and a second signal processing path that amplifies and processes low-frequency differential signals for fine movement detection. This segmentation allows each path to be optimized for its specific detection purpose without interference from the other frequency ranges.
Solution Approach 2:
The patent introduces a differential signal as an intermediary representation that captures the frequency difference between transmitted and received microwave signals. This differential signal serves as a bridge that can be processed separately through the second signal processing path to extract fine movement information that would otherwise be lost in the high-frequency Doppler signal filtering process.
2Device complexity
If the microwave detector only provides single function detection, then device complexity is reduced, but it cannot fulfill intelligent or smart device applications requiring fine movement detection
Solution Approach 1:
The patent implements a dual-function microwave detector that can detect both coarse movements (through the first signal processing path analyzing high-frequency Doppler signals) and fine movements (through the second signal processing path analyzing low-frequency differential signals). This multi-functionality enables the detector to support various intelligent applications including breathing detection, heartbeat monitoring, and subtle gesture recognition, all within a single device framework.
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
The device enhances detection accuracy by amplifying weak signals associated with respiratory and heartbeat movements, providing reliable data for intelligent device control and operation.
Implementation Method 1
The operation of the existing microwave detector is based on microwave Doppler effect principle, wherein the microwave detector emits a microwave detection wave in pulse form or continuous form in the detecting area and, at the same time, receives a reflection wave within the detecting area. When the detection wave encounters a moving object within the detecting area, the frequency of the reflection wave will be changed.
Implementation Method 2
the signal amplifying module is arranged to amplify the differential signal in ultra-low frequency range so as to minimize the signal interference
Data Source
Figure 1
Figure 2~3B
Figure 4A
AI summary
A microwave detection device, which is arranged for detecting movement characteristics of at least one object within a detection area, includes a microwave detecting module generating a difference signal based on a Doppler effect principle and a signal converting module operatively connected to the microwave detecting module. The signal converting module is arranged to convert the differential signal into a wave signal in order to analyze the wave signal for acquiring the movement characteristics of the object within the detection area.