FMCW Radar Biometric Sensing via Phase Difference Analysis
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Solution Overview
Problem
Conventional Doppler radar systems fail to detect living bodies without a Doppler shift and struggle to accurately identify multiple living bodies.
Innovation Solution
A sensor device utilizing Frequency Modulated Continuous Wave (FMCW) radar technology to detect living bodies by transmitting and receiving FMCW radar signals, processing the signals to determine range, velocity, and angle, and identifying biometric signals such as micro-vibrations, enabling detection even without relative velocity and in the presence of multiple bodies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Doppler radar is used for biometric sensing, then the device can detect moving living bodies, but it cannot detect living bodies without Doppler shift and cannot accurately detect multiple living bodies
Solution Approach 1:
The patent changes the fundamental detection parameter from Doppler shift (velocity-based) to phase difference (position-based). By using FMCW radar to measure the phase difference of reflected waves between different antennas, the system can detect both stationary and moving living bodies, as well as distinguish multiple targets, without relying on Doppler shift.
2Measurement precision
If FMCW radar is used to detect multiple living bodies, then detection accuracy improves, but signal processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical signal processing methods with a streamlined electrical signal processing approach. By using phase difference calculation between antenna signals and simple comparison operations, the system achieves accurate multi-target detection without requiring complex signal processing algorithms.
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 FMCW radar system effectively detects living bodies by analyzing micro-vibrations, providing accurate range, velocity, and angle information, and can distinguish multiple living bodies, improving detection accuracy and reducing the need for complex signal processing.
Implementation Method 1
a transceiving unit 10 that transmits and receives an FMCW radar signal
Implementation Method 2
conventional, known sensor devices that perform biometric sensing by using a Doppler radar
Data Source
AI summary
An FMCW radar is used to sense an object. A sensor device that senses an object by using an FMCW radar is provided. The sensor device includes: a signal processing unit that acquires a reception signal that is based on a reception wave of the FMCW radar, and senses the object; and a phase converting unit that acquires phase information from the reception signal, and tracks the object by monitoring a peak BIN, and a phase offset between the peak BIN and another BIN based on the phase information. As the reception signal, the signal processing unit may use micro-vibration data about the object to sense the object. A system including: a transceiving unit that transmits and receives an FMCW radar signal; and the sensor device according to the first aspect of the present invention is provided.