Radio Environment Evaluation Using Ray-Tracing and LIDAR Correction
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Solution Overview
Problem
Current techniques fail to accurately reproduce the behavior of electromagnetic waves within a service area, leading to inaccuracies in wireless communication characteristic evaluations due to limitations in modeling and measurement methods, particularly with point cloud data from LIDAR, which introduces high freedom in selecting nearby points and errors in coordinates, resulting in a scattering phenomenon different from actual structures.
Innovation Solution
A radio environment evaluation method that constructs a structural model for electromagnetic wave scatterers within a computer resource, using a ray-tracing calculation to estimate electric field strength and correct polygon models based on electromagnetic wave vector measurement data, ensuring accurate behavior calculation of electromagnetic waves within the service area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If point cloud measurement system (LIDAR) is used to obtain structure data within service area, then measurement coverage and data acquisition efficiency are improved, but measurement precision and model accuracy deteriorate due to coordinate errors and high freedom in selecting nearby points
Solution Approach 1:
The patent creates a virtual structural model that copies the physical structure within the service area. Instead of directly using imprecise LIDAR point cloud data, the system generates a digital replica (virtual model) that can be refined and corrected to achieve higher accuracy while maintaining the efficiency of non-contact measurement.
Solution Approach 2:
The patent implements an iterative optimization process where the virtual structural model is continuously refined based on feedback from electromagnetic wave propagation measurements. The model parameters are adjusted to minimize the difference between simulated and actual electromagnetic field distributions, thereby improving measurement precision through feedback-driven correction.
2Productivity
If virtual electromagnetic field calculation model is constructed using LIDAR point cloud data, then productivity and cost are improved by avoiding physical measurements, but manufacturing precision and model fidelity deteriorate due to inaccurate structural representation
Solution Approach 1:
The patent performs preliminary actions by constructing an initial virtual structural model from LIDAR data before conducting electromagnetic wave propagation analysis. This preliminary model serves as a foundation that can be efficiently refined through iterative optimization, combining the speed of virtual modeling with the accuracy of measurement-driven correction.
Solution Approach 2:
The patent replaces physical measurement systems (mechanical LIDAR scanning and physical transceiver deployment) with computational methods. Virtual electromagnetic field calculations substitute for physical wave propagation experiments, enabling rapid evaluation while maintaining improving accuracy through algorithmic optimization and measurement validation.
3Measurement precision
If actual transceiver arrangement measurement is performed within service area, then measurement precision is improved, but loss of time and operational complexity increase due to personnel deployment and experimental setup
Solution Approach 1:
The patent creates virtual copies of transceivers and their arrangement within the service area. Instead of physically deploying and measuring actual transceivers, the system uses virtual models that replicate the physical setup, enabling rapid evaluation of communication characteristics without the time-consuming process of physical experimentation.
Solution Approach 2:
The patent substitutes physical transceiver deployment and measurement with virtual electromagnetic wave propagation calculations. The computational model simulates wave behavior, transceiver interactions, and communication characteristics, replacing time-consuming physical experiments with fast numerical simulations that yield equivalent or superior measurement precision.
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 improves the accuracy of wireless communication characteristic predictions and reduces costs by faithfully reproducing the electromagnetic field distribution within the service area, enhancing the reliability and efficiency of wireless communication system design and maintenance.
Implementation Method 1
LIDAR emits light waves three-dimensionally from a single point within the service area, detects scattered light waves that have been reflected and return, and uses the phase delay thereof to measure three-dimensional coordinates
Implementation Method 2
when calculating a characteristic of an electromagnetic field by using the structural model and a ray that simulates a radio wave traveling straight through real space
Implementation Method 3
When a radio wave scatterer is present within an area in which a wireless communication service is provided, electromagnetic waves in a wireless communication medium undergo scattering due to the scatterer
Data Source
AI summary
An objective of the present invention is to use a calculation model to calculate, with good accuracy, behavior of electromagnetic waves within an actual service area. Provided is a radio environment evaluation method that includes constructing, within a computer resource, a structural model for an electromagnetic wave scatterer, and when calculating a characteristic of an electromagnetic field by using the structural model and a ray that simulates a radio wave traveling straight through real space, correcting, in accordance with electromagnetic wave vector measurement data for real space, a state of a polygon included in the structural model.