Circular Polarized Antenna Indoor Positioning NLOS Mitigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless positioning and tracking systems face challenges in indoor environments due to signal attenuation and multipath effects, particularly in non-line-of-sight (NLOS) conditions, leading to inaccurate location determination and tracking of people, objects, and vehicles.
Innovation Solution
A positioning and tracking system utilizing circularly polarized antennas with omnidirectional radiation and low time-delay variation, combined with genetic algorithms for optimal anchor placement and deep learning models for adaptive NLOS mitigation, to improve accuracy and adaptability in complex indoor environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional UWB positioning systems are used in indoor environments, then positioning functionality is provided, but positioning accuracy deteriorates due to multipath effects and NLOS conditions
Solution Approach 1:
The patent changes the polarization parameter of the antenna from conventional linear polarization to circular polarization. This parameter change makes the antenna radiation pattern omnidirectional and reduces sensitivity to orientation, thereby mitigating multipath effects and improving positioning accuracy in NLOS conditions
Solution Approach 2:
The patent employs multiple anchors (at least three) that copy the same circularly polarized antenna design and positioning functionality. By having multiple redundant anchors with identical characteristics, the system can select the best signals for positioning and reduce the impact of multipath effects through signal comparison and selection
2Measurement precision
If the number of anchors is increased to improve positioning accuracy, then positioning precision improves, but system complexity increases
Solution Approach 1:
The patent designs anchors that serve multiple functions: positioning, tracking, and serving as reference points for NLOS mitigation. Each anchor is a self-contained unit with circularly polarized antenna, transceiver, and processing capabilities, allowing the same hardware to perform multiple functions and reducing overall system complexity
3Measurement precision
If traditional linearly polarized antennas are used, then device simplicity is maintained, but positioning accuracy deteriorates due to orientation-dependent time delay variations
Solution Approach 1:
The patent changes the polarization parameter of the antenna from conventional linear polarization to circular polarization. This parameter change makes the antenna radiation pattern omnidirectional and reduces sensitivity to orientation, thereby mitigating multipath effects and improving positioning accuracy in NLOS conditions
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 system achieves a significant reduction in positioning errors, with measured errors ranging from 20-30 cm in severe NLOS environments, enhancing the accuracy and efficiency of wireless positioning and tracking under both LOS and NLOS conditions.
Implementation Method 1
positioning and tracking system utilizing circularly polarized antennas with omnidirectional radiation and low time-delay variation
Implementation Method 2
the distances between the targets and the base-stations need to be estimated based on time of arrival (TOA) or time difference of arrival (TDOA). In multiangulation, the directions from base-station to targets are determined based on angle of arrival (AOA)
Data Source
AI summary
A positioning and tracking system is disclosed. The positioning and tracking system includes positioning sensors disposed in a space, wherein the positioning sensors are all movable and all have functions of sensing distance, angle and time, and the positioning sensors communicate with each other to sense relative distances, relative angles and relative times between every two positioning sensors of the positioning sensors. when at least one of the positioning sensors moves in the space, the positioning sensors re-communicate with each other to instantly update the relative distances, the relative angles and the relative times between every two positioning sensors of the positioning sensors.