RFID Localization via Directional Vector Intersection
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Solution Overview
Problem
Existing techniques for localizing radio signals, such as those from RFID tags, face challenges due to multipath propagation and directional interference, making it difficult to accurately track assets in environments like data centers.
Innovation Solution
A method involving multiple robots that record and compare radio signal strengths and directions using a weighted circular mean to determine the net directional vector, followed by a flood-fill technique to find the intersection of arcs, allowing for precise localization of the signal source.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional RFID localization methods are used, then asset tracking is enabled, but localization precision deteriorates due to multipath propagation and directional interference
Solution Approach 1:
The patent segments the localization problem by considering multiple individual radio signals received at different locations rather than relying on a single signal. Each signal is processed independently to determine directional information, and then these segmented results are combined through intersection to achieve precise localization, thereby mitigating the harmful effects of multipath propagation and directional interference.
Solution Approach 2:
The patent transitions from traditional range-based estimation (one-dimensional distance measurement) to a directional vector approach (two-dimensional angular information). By determining the direction of each radio signal and finding the intersection of these directional vectors, the system achieves precise localization without being affected by multipath propagation and directional interference that plague traditional methods.
2Measurement precision
If range-based estimation is used for localization, then the method is simple, but precision deteriorates in complex indoor environments
Solution Approach 1:
The patent replaces the mechanical/range-based estimation approach with an electromagnetic field-based directional analysis. Instead of measuring distance and using geometric range calculations, the system analyzes the directional characteristics of radio signals and uses vector intersection to determine location, achieving higher precision in complex indoor environments while maintaining reasonable methodological complexity.
Data Source
AI summary
Methods and apparatus are provided for localizing a source of a set of radio signals, such as radio signals received from an RFID tag at various locations. A source of a set of radio signals (such as radio signals received from an RFID tag at various locations) is localized by obtaining a plurality of radio signals in the set from a different location in an environment; determining a magnitude and received location for each of the plurality of radio signals; determining a direction for each of the plurality of radio signals by comparing each given radio signal to other radio signals in the set; and determining a location of the source of the set of radio signals by determining an intersection of the direction for each of the plurality of radio signals. The direction for each of the plurality of radio signals optionally comprises a net directional vector determined using a weighted circular mean.