FMCW Radar Signal Processing for Multi-User Source Differentiation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current radar technologies require additional identity recognition devices for distinguishing the source of radar measurement information, increasing cost and discomfort, and fail to differentiate between multiple users in multi-person scenarios.
Innovation Solution
A radar signal processing method that integrates distance, Doppler, and angle processing to distinguish radar measurement information sources using a single device, incorporating identification codes and physiological data without additional wearables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If additional identity recognition devices (e-tag, RFID) are worn by subjects to distinguish radar measurement information sources, then source identification capability is improved, but device complexity and cost increase, and convenience and comfort for the subject deteriorate
Solution Approach 1:
The radar system performs self-identification of signal sources through advanced signal processing algorithms that analyze Doppler characteristics, angle information, and temporal patterns without requiring external identification devices. The system serves its own identification needs using inherent radar capabilities.
Solution Approach 2:
The patent replaces physical identification devices (e-tags, RFID) with electronic signal processing methods. Instead of relying on mechanical/wearable identification components, the system uses digital signal analysis, machine learning algorithms, and pattern recognition to distinguish between different signal sources.
2Loss of information
If additional identity recognition devices are added to distinguish radar sources, then source differentiation is improved, but cost increases
Solution Approach 1:
The radar system is enhanced to perform multiple functions: traditional target detection plus source identification and differentiation. The same radar hardware processes multiple types of information (range, Doppler, angle, temporal patterns) simultaneously, eliminating the need for separate identification devices and reducing overall system cost.
Solution Approach 2:
The system changes the analysis parameters from simple distance measurement to multi-dimensional feature extraction including Doppler shift, angle of arrival, temporal correlation, and signal morphology. These parameter transformations enable source differentiation using existing radar hardware without additional components.
3Loss of information
If distance information is used to distinguish users in multi-person scenarios, then source separation is improved, but the ability to distinguish users wearing sensors deteriorates
Solution Approach 1:
The system transitions from one-dimensional distance measurement to multi-dimensional analysis by incorporating Doppler frequency, angle information, temporal patterns, and signal characteristics. This dimensional expansion creates unique signatures for each user even when they wear identical sensors, enabling precise distinction between multiple persons.
Solution Approach 2:
The system continuously monitors and compares signal characteristics over time, using feedback from temporal patterns and signal evolution to distinguish between different users. By analyzing how signals change and correlate over time, the system can identify individual users based on their unique movement patterns and signal signatures.
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 source differentiation of radar measurement information without additional devices, reducing cost and device wear, and applicable in multi-target environments.
Implementation Method 1
a radar detection device, including: a radar unit, configured to collect and demodulate a frequency modulated continuous wave radar echo
Implementation Method 2
frequency modulated continuous wave radar echo
Data Source
AI summary
A radar signal processing method and a radar detection device are provided. The method includes: performing range processing on a plurality of channel signals to obtain a matrix, where the matrix is divided into a first part and a second part according to a separation frequency point; obtaining first information and a corresponding first angle according to the first part; obtaining second information and a corresponding second angle according to the second part; and obtaining a plurality of pieces of information corresponding to a target according to the first information and the second information respectively corresponding to the matched first angle and the matched second angle.