Wireless Transmitter Localization via RSSI Clustering and Binary Image Contours
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Solution Overview
Problem
In large indoor spaces, accurately localizing multiple wireless transmitters is essential to prevent interference due to limited frequency spectrum availability, necessitating a method for precise positioning to enable frequency reuse.
Innovation Solution
A system and method that utilize Received Signal Strength Indicator (RSSI) values measured by sensors to generate clusters, create binary images, and determine contours to localize wireless transmitters, allowing for accurate positioning without requiring prior knowledge of transmitter power or number.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frequency spectrum is reused by placing wireless transmitters in proximity, then full utilization of available frequency spectrum is achieved, but interference and information loss occur
Solution Approach 1:
The system performs preliminary localization of wireless transmitters before frequency assignment by measuring RSSI values and generating binary images with contours. This preliminary action identifies transmitter positions in advance, enabling the network planner to assign frequencies that avoid interference while maximizing spectrum utilization.
2Measurement precision
If accurate localization of wireless transmitters is performed, then frequency reuse can be optimized, but measurement and detection complexity increases
Solution Approach 1:
The system creates a simplified binary image representation (copy) of the complex RSSI measurement data, where white regions represent areas with strong signal strength. This binary image serves as an easier-to-process representation that captures essential localization information without the complexity of raw RSSI data, enabling automated contour detection and transmitter positioning.
3Reliability
If manual frequency assignment is used, then interference can be avoided, but the process is time-consuming and not automated
Solution Approach 1:
The system automatically generates feedback information about transmitter positions through RSSI measurements and binary image processing. This feedback is then fed to network planning systems to automatically assign frequencies, creating a closed-loop system that eliminates manual intervention and significantly reduces the time required for frequency assignment while maintaining reliability.
Data Source
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AI summary
A technique is provided for localizing a plurality of wireless transmitters. The technique includes retrieving Received Signal Strength Indicator (RSSI) values measured by one or more sensors, corresponding to the plurality of wireless transmitters distributed in a region in which the sensors are located. The technique further comprises generating, a plurality of clusters based on the retrieved RSSI values. The technique further comprises generating a binary image based on the generated clusters. The binary image comprises one or more white regions and one or more black regions. The technique further comprises localizing position of each of the plurality of wireless transmitters, based on a determination of contours of the one or more white regions present in the binary image.