Millimeter Band Radar Human Detection Through Smoke
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Solution Overview
Problem
In emergency situations, especially in firefighting, reduced visibility due to smoke and other airborne obstructions hinders the ability of first responders to navigate and locate individuals, leading to prolonged exposure to toxic gases and increased risks in confined spaces.
Innovation Solution
A millimeter band radar system that captures and processes radar returns to generate images of a region of interest behind barriers, with a sensitivity tuning component to maximize visibility of human beings and a pattern recognition classifier to identify their presence, using a millimeter band radar assembly that operates between 65 GHz and 94 GHz to penetrate smoke and dust.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If visual navigation is used in smoke-filled environments, then individuals can rely on visual information to evacuate, but visibility is reduced below ten meters making navigation difficult and dangerous
Solution Approach 1:
The patent replaces optical-based visual navigation systems with radar-based detection systems. The radar system uses electromagnetic waves in the millimeter band (30-300 GHz) that can penetrate smoke and obscurants, substituting the failed optical mechanism with a radar-based detection and imaging mechanism that operates effectively in smoke-filled environments
Solution Approach 2:
The patent changes the operating parameters of the detection system from optical frequencies to millimeter-wave radar frequencies. By operating in the 30-300 GHz band, the system achieves penetration through smoke and particulate matter that completely blocks visible light, fundamentally changing the detection parameter to overcome the obscurant barrier
2Measurement precision
If radar images are processed with high sensitivity to detect human beings through barriers, then visibility of human beings is maximized, but noise floor increases reducing image quality
Solution Approach 1:
The patent implements dynamic noise floor adjustment where the system automatically adapts the noise threshold based on the specific radar return characteristics of each scene. The noise floor is not fixed but dynamically tuned to maximize human detection while minimizing false alarms from clutter and interference, allowing the system to optimize its sensitivity for different environmental conditions
Solution Approach 2:
The system uses feedback mechanisms where radar returns are processed and analyzed to automatically adjust processing parameters including noise floor levels. The system learns from the radar data patterns and adjusts its sensitivity thresholds based on the detected signal characteristics, creating a closed-loop system that optimizes detection performance
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
Enables first responders to effectively see through walls and identify human beings and potential escape routes, reducing exposure to toxic gases and enhancing safety by providing clear radar images of obscured environments.
Implementation Method 1
A millimeter band radar assembly captures radar returns from a region of interest
Implementation Method 2
using a millimeter band radar assembly that operates between 65 GHz and 94 GHz to penetrate smoke and dust
Data Source
AI summary
Systems and methods are provided for recognizing a human being behind a barrier using a radar image. A millimeter band radar assembly captures radar returns from a region of interest, at least a portion of which is separated from the millimeter band radar assembly by the barrier. A system control processes the radar returns to provide at least one radar image showing the amplitude of the radar return in each of a plurality of locations within the region of interest. The system control includes a sensitivity tuning component that adjusts a noise floor for the processed sensor data to provide an image of the at least one radar image tuned to maximize the visibility of the human being. A display provides the radar image to a user.