Multi-Radar 3D Positioning and Shape Discrimination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing indoor positioning systems face challenges in detecting unexpected individuals and distinguishing between multiple targets due to the need for positioning tags and potential blind spots in visual positioning technologies, especially when targets are close together.
Innovation Solution
An electronic device utilizing a plurality of radars with transmitting and receiving antennas arranged in a two-dimensional array, converting RF signals into ranging profiles, generating voxel profiles, and performing point generation and cluster analysis algorithms to accurately determine the position, posture, and shape of targets in three-dimensional space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If positioning tags and positioners are used for indoor positioning, then positioning functionality is achieved, but the system cannot detect unexpected persons without tags and cannot detect target posture or shape
Solution Approach 1:
The radar system performs multiple functions using the same hardware infrastructure. It simultaneously achieves positioning (by measuring distance to targets), detection (by identifying presence of any object regardless of tags), and posture/shape discrimination (by analyzing reflection patterns and signal characteristics). This multi-functional approach eliminates the need for separate systems for each capability.
Solution Approach 2:
The patent replaces the mechanical/electronic tag-based positioning system with a radar-based electromagnetic wave system. The radar uses electromagnetic waves to detect targets without requiring any physical tags or sensors on the targets themselves, enabling detection of unexpected persons and providing additional capabilities for posture and shape analysis through signal processing.
2Measurement precision
If visual positioning technology is used, then positioning is achieved, but blind spots occur when two targets are close together making it impossible to clearly distinguish them
Solution Approach 1:
The radar system transitions from two-dimensional visual imaging to three-dimensional spatial measurement by utilizing distance information obtained through time-of-flight or frequency-modulated continuous wave (FMCW) radar techniques. This adds a depth dimension that allows the system to distinguish between targets that appear overlapping in 2D visual space, eliminating blind spots when targets are close together.
Solution Approach 2:
The system changes the measurement parameter from optical wavelength (visual spectrum) to radio frequency wavelength (microwave spectrum). This fundamental parameter change allows the radar waves to penetrate and detect targets in conditions where visual technology fails, and the longer wavelength provides better resolution for distinguishing closely spaced targets through angular separation and distance measurement.
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 solution enables accurate positioning, imaging, detecting, and shape discrimination of targets, reducing blind spots and improving detection of multiple targets in close proximity, thereby enhancing indoor positioning accuracy and reliability.
Implementation Method 1
a plurality of radars 102, each including at least one transmitting antenna 112, 122-1, 122-2 and a plurality of receiving antennas 114, 124-1, 124-2, 124-3, 124-m
Implementation Method 2
the processor 106 converts the RF signal received by each of the receiving antennas 114, 124-1, 124-2, 124-3, 124-m into a ranging profile
Data Source
AI summary
An electronic device includes a plurality of radars and at least one processor. Each of the radars includes at least one transmitting antenna and a plurality of receiving antennas arranged as a two-dimensional array antenna. The processor converts the RF signal received by the receiving antennas into a ranging profile that records the distance between each of the receiving antennas and the target and the receiving intensity corresponding to the distance. The processor generates a voxel profile to indicate the relationship between the distance and the receiving intensity in three-dimensional space. The processor performs a point generation algorithm to generate a plurality of points in three-dimensional space according to the voxel profile and the receiving intensity threshold. The processor performs a cluster analysis algorithm to identify a plurality of target points corresponding to the target among the points to obtain the position of the target.