Interference Source Hunting Using Probability Updates
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Solution Overview
Problem
In radio communication environments, accurately locating an electromagnetic wave interference source is challenging due to factors like multipath fading, shadowing, and interference, which reduces the accuracy of interference source estimation.
Innovation Solution
An interference source hunting method that involves moving between predetermined measurement points to estimate the distance to the interference source, calculating presence probabilities based on signal strength and propagation losses, and updating probabilities to determine the source's location, while considering obstacles and moving objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electromagnetic wave strength measurement is performed to locate interference source, then interference source location can be estimated, but measurement accuracy decreases due to multipath fading, shadowing, and free space loss
Solution Approach 1:
The patent implements feedback by continuously updating the interference source location estimate based on new measurements and comparing it with previous estimates. The system uses the calculated presence probability to determine whether to update the location estimate, creating a feedback loop that refines accuracy over time while filtering out unreliable measurements caused by fading and shadowing effects
Solution Approach 2:
The patent performs preliminary actions by calculating propagation loss estimates and presence probabilities before making final location determination. The system pre-processes the raw signal strength measurements by comparing them with expected propagation loss values, and only proceeds with location updates when the presence probability exceeds the threshold, thereby preparing the data in advance to ensure accuracy
2Measurement precision
If measurement points are densely distributed to improve location accuracy, then estimation precision increases, but hunting time and complexity increase
Solution Approach 1:
The patent applies partial action by using a sparse set of measurement points rather than densely distributing them. The system determines that a limited number of strategically selected measurement points are sufficient to achieve accurate location estimation, avoiding the time loss and complexity that would result from using excessive measurement points
Solution Approach 2:
The patent segments the hunting process into distinct phases: initial scanning phase with fewer measurement points to get a rough location estimate, and refinement phase where measurement points are concentrated around the estimated location. This segmentation allows the system to achieve high accuracy without requiring dense measurement points across the entire area
3Reliability
If multiple measurement points are used to improve accuracy, then location estimation reliability increases, but system complexity and processing load increase
Solution Approach 1:
The patent extracts only the essential information needed for location estimation from the multiple measurement points. Instead of processing all raw measurement data in full complexity, the system extracts the signal strength values and compares them with propagation loss models, taking out only the relevant features for location determination while discarding redundant information
Solution Approach 2:
The patent changes parameters by transforming raw signal strength measurements into presence probability values through comparison with propagation loss estimates. This parameter transformation simplifies the decision-making process by converting complex multi-point measurement data into a single probability metric that directly indicates whether the interference source is present at the estimated location
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 method efficiently hunts for electromagnetic wave interference sources, even when received power is decreased, by accurately determining the source's location and minimizing the impact of environmental factors like multipath fading.
Implementation Method 1
a radio wave measuring unit 3 configured to measure a strength of electromagnetic waves received from the interference source
Implementation Method 2
a distance estimating unit 52 configured to estimate a distance from the measurement point to a location of the interference source, based on the strength information and propagation losses
Data Source
AI summary
An interference source hunting method of hunting for an interference source of electromagnetic waves while moving between multiple measurement points, includes the steps of acquiring strength information of electromagnetic waves, estimating a distance from the measurement point to the location of the interference source, based on the strength information, calculating a first presence probability that the interference source is present at each position, based on whether a distance from the measurement point to the position is within the distance, updating second presence probabilities acquired in hunting in the past, based on the first presence probabilities, determining a position obtained by moving, by a predetermined distance, the measurement point toward a position with the second presence probability higher than the second presence probability at the measurement point, as a new measurement point, and determining, in a case where a size of an area in which each of the second presence probabilities is greater than or equal to a predetermined value is less than a predetermined value, that the location of the interference source is within the area.