RF Non-Contact Sensor Human Detection Adaptive Control
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Solution Overview
Problem
Current sensors for detecting physiology characteristics and authentication face challenges such as false triggers due to motion artefact interference and high sensitivity at close ranges, and struggle with medium-range object detection, while also being prone to RF interference and lacking global regulatory acceptance.
Innovation Solution
A system and method using radio frequency non-contact sensors to detect and authenticate individuals by processing physiological parameters like breathing rate, heart rate, and movement features, with adaptive control parameters to minimize interference and optimize recognition, including dynamic adjustment of range gating, RF frequency, and power levels, and integration with cameras for biometric verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous wave Doppler radar motion sensors are used to detect motion, then they can receive signals for both near and far objects, but this leads to false triggers due to motion artefact interference and high sensitivity at close range
Solution Approach 1:
The patent segments the detection process into multiple components: range gating to isolate specific distance zones, signal filtering to separate physiological signals from motion artifacts, and multi-parameter analysis to distinguish genuine targets from false triggers. This segmentation allows the system to maintain reliability while eliminating false triggers.
Solution Approach 2:
The system dynamically adjusts detection parameters including range gate positioning, signal filtering characteristics, and sensitivity thresholds based on real-time conditions. This dynamic adaptation enables the sensor to optimize between detecting distant objects and avoiding close-range false triggers.
2Object-affected harmful factors
If pulse Doppler motion sensor with range gating is used to limit detection to specific distance, then false triggers are reduced, but difficulty sensing objects at medium ranges persists
Solution Approach 1:
The patent extends detection capabilities by analyzing signals across multiple dimensions: multiple range gates simultaneously monitor different distance zones, multiple frequency bands capture diverse signal characteristics, and temporal analysis across multiple pulse cycles identifies medium-range objects. This multi-dimensional approach overcomes the limitations of single-range gating.
Solution Approach 2:
The system changes detection parameters adaptively: adjusting pulse width, frequency, and power levels based on detected object characteristics and range. This parameter optimization enables reliable medium-range detection while maintaining false trigger rejection through coordinated parameter adjustments across multiple detection dimensions.
3Measurement precision
If ultra-wideband radar motion sensor is used for precise range gating, then sensing region is narrowed, but global RF regulatory acceptance is lacking and RF interference problems occur
Solution Approach 1:
The patent introduces signal processing intermediaries including range gating filters, frequency selective filters, and adaptive thresholding mechanisms that mediate between the raw RF signals and detection decisions. These intermediaries enable precise range measurement while filtering out RF interference and eliminating the need for ultra-wideband frequencies.
Solution Approach 2:
The system replaces physical ultra-wideband RF mechanisms with signal processing-based range gating and filtering approaches. This substitution maintains measurement precision through computational methods while avoiding RF regulatory issues and interference problems associated with ultra-wideband transmission.
4Reliability
If sensor power and range are increased to improve detection capability, then medium and far range objects can be detected, but power consumption increases
Solution Approach 1:
The system dynamically adjusts transmission power and range gate settings based on detected signal strength and object characteristics. Power is increased only when and where needed to detect medium and far-range objects, while maintaining lower power consumption for near-range detection and during periods of no activity.
Solution Approach 2:
The patent optimizes detection parameters including pulse width, frequency, and power levels based on range and target characteristics. This parameter adaptation enables effective medium and far-range detection while minimizing overall power consumption through intelligent parameter selection rather than continuous high-power operation.
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 system effectively identifies and authenticates individuals by reducing false triggers and interference, improving range sensitivity, and enhancing biometric recognition accuracy, while ensuring compliance with regulatory standards and minimizing power consumption.
Implementation Method 1
Continuous wave (CW) Doppler radar motion sensors emit a continuous wave radio frequency (RF) carrier and mix the transmitted RF with the return echoes to produce a difference frequency equal to the Doppler shift produced by a moving target
Implementation Method 2
mix the transmitted RF with the return echoes to produce a difference frequency equal to the Doppler shift
Data Source
AI summary
One or more sensors are configured for detection of characteristics of moving objects and living subjects for human identification or authentication. One or more processors, such as in a system of sensors or that control a sensor, may be configured to process signals from the one or more sensors to identify a person. The processing may include evaluating features from the signals such as breathing rate, respiration depth, degree of movement and heart rate etc. The sensors may be radio frequency non-contact sensors with automated detection control to change detection control parameters based on the identification of living beings, such as to avoid sensor interference.