Multi-Range Radar Sensing for Biological Vibration Noise Filtering
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Solution Overview
Problem
In environments with significant vibrations, such as vehicles, it is challenging to accurately detect biological vibrations using radar sensors due to interference from non-biological vibrations, which complicates the removal of noise from output signals.
Innovation Solution
A detection device employing multiple radar sensors operating in different ranges to detect biological information, with a processing unit that calculates and filters signals to isolate biological vibrations, utilizing antennas and high-frequency circuits to transmit and receive electromagnetic waves, and a vibration sensor to aid in noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a radar sensor is used to detect biological vibrations, then detection capability is provided, but non-biological vibrations in the sensor output make it difficult to remove noise and achieve accurate detection
Solution Approach 1:
The patent divides the detection space into multiple ranges using multiple radar sensors. Each sensor detects vibrations in a specific range, allowing the system to segment and analyze different spatial zones independently. This segmentation enables identification and removal of non-biological vibrations by comparing patterns across different ranges.
Solution Approach 2:
The patent introduces a vibration sensor as an intermediary device to detect non-biological vibrations separately. This intermediary sensor provides reference data that helps identify and filter out noise from the radar sensor output, improving the accuracy of biological information detection.
2Measurement precision
If multiple radar sensors operating in different ranges are used, then ability to remove non-biological vibrations is improved, but device complexity increases
Solution Approach 1:
The patent designs the multiple radar sensors to operate with similar configurations and detection mechanisms, allowing them to perform the same basic function of detecting vibrations in their respective ranges. This multi-functionality approach simplifies the overall system architecture while achieving noise reduction through coordinated operation of identical sensor types.
Solution Approach 2:
The patent combines the output signals from multiple radar sensors and the vibration sensor through signal processing integration. By merging these signals and analyzing them collectively, the system achieves improved noise filtering and detection accuracy without requiring entirely separate processing systems for each sensor type.
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
This approach effectively removes non-biological vibrations from radar sensor signals, enhancing the accuracy of biological information detection, particularly in noisy environments like vehicles.
Implementation Method 1
a first sensor configured to transmit a first electromagnetic wave to a first range and receive the first electromagnetic wave reflected in the first range
Implementation Method 2
receive the first electromagnetic wave reflected in the first range
Implementation Method 3
a second sensor configured to transmit a second electromagnetic wave to a second range different from the first range and receive the second electromagnetic wave reflected in the second range
Implementation Method 4
receive the second electromagnetic wave reflected in the second range
Data Source
AI summary
A detection device includes a first sensor configured to transmit a first electromagnetic wave to a first range and receive the first electromagnetic wave reflected in the first range, a second sensor configured to transmit a second electromagnetic wave to a second range different from the first range and receive the second electromagnetic wave reflected in the second range, and a processor configured to calculate information on an object reflecting the first electromagnetic wave and the second electromagnetic wave based on a first signal output from the first sensor and a second signal output from the second sensor.