Interferometric Radar Posture Recognition Using Two-Antenna Velocity Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional radar systems for posture recognition are limited by their inability to accurately reflect transversal motion features, leading to sensitivity to azimuth angles and low accuracy in recognizing horizontally symmetrical gestures, and the use of MIMO radar increases hardware costs and algorithm complexity, making real-time interaction difficult.
Innovation Solution
A method using a frequency-modulated continuous-wave interferometric radar with two receiving antennas to acquire and process signals, determining both radial and transversal velocity information through time-frequency analysis and interferometric processing, and using a support vector machine to classify postures based on these features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional radar is used for posture recognition, then the system is simple, but the recognition accuracy is low due to inability to reflect transversal motion features
Solution Approach 1:
The patent transitions from traditional single-dimension radial velocity measurement to two-dimensional velocity information by introducing a second receiving antenna. This enables the system to measure both radial velocity (from first antenna) and transversal velocity (through interferometric processing of both antennas), thereby improving posture recognition accuracy without excessive complexity increase
Solution Approach 2:
The patent uses interferometric processing as an intermediary method to extract transversal velocity information from the signals received by two antennas. This intermediary processing step enables the derivation of additional motion features without requiring direct complex hardware modifications
2Measurement precision
If MIMO radar is used to obtain angle information, then the angle measurement precision is improved, but the hardware cost and algorithm complexity increase
Solution Approach 1:
Instead of implementing full MIMO radar with multiple transmitting and receiving antennas, the patent uses a simplified configuration with one transmitting antenna and two receiving antennas. This partial implementation provides sufficient angle and transversal velocity information for posture recognition while avoiding the excessive hardware cost and complexity of complete MIMO systems
Solution Approach 2:
The patent extracts only the essential functionality needed for posture recognition from the full MIMO radar concept. By taking out just the interferometric processing capability with two receiving antennas, the system obtains angle information without incorporating unnecessary complex MIMO features that would increase cost and processing burden
3Measurement precision
If array signal processing is used in MIMO radar, then the angle information accuracy is improved, but the time complexity increases making real-time interaction difficult
Solution Approach 1:
The patent extracts only the essential interferometric processing step from complex array signal processing algorithms. By using a simplified two-antenna interferometric method, the system obtains angle information with reduced computational burden, enabling real-time posture recognition and interaction
Solution Approach 2:
The patent applies a partial version of array processing - specifically interferometric processing with two antennas - rather than full-blown array signal processing. This partial application provides sufficient angle measurement capability while keeping processing time acceptable for real-time applications
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 enhances posture recognition accuracy and stability across different azimuth angles and for horizontally symmetrical motions, while reducing hardware costs and algorithm complexity, enabling good real-time interaction.
Implementation Method 1
a transmitting signal transmitted by a transmitting antenna of a radar, a first receiving signal received by a first receiving antenna of the radar, and a second receiving signal received by a second receiving antenna of the radar
Implementation Method 2
acquiring a first receiving signal and a second receiving signal upon scattering of a transmitting signal from a target to be recognized
Implementation Method 3
performing interferometric processing on the first baseband signal and the second baseband signal to obtain transversal velocity information
Data Source
AI summary
The present application provides a method, apparatus and electronic equipment for recognizing a posture of a target, a first receiving signal and a second receiving signal upon scattering of a transmitting signal from a target to be recognized are acquired, a first baseband signal is determined according to the first receiving signal and the transmitting signal, and a second baseband signal is determined according to the second receiving signal and the transmitting signal; and a category of the posture of the target to be recognized is finally determined according to the first baseband signal and the second baseband signal. The first baseband signal and the second baseband signal carry various feature values related to the posture of the target, including but not limited to transversal velocity information and radial velocity information, etc.