RSSI Localization Algorithm

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Resource Overview

In this algorithm, RSSI measurements are generated using a logarithmic path loss model. To minimize errors caused by signal fluctuations, the RSSI values are obtained by averaging multiple measurements. Additionally, the reference distance path loss and path loss exponent parameters in the logarithmic path loss model can be mutually estimated through measurements between reference points.

Detailed Documentation

This paper presents an algorithm that incorporates RSSI measurements based on the logarithmic path loss model. To reduce errors introduced by signal variations, the algorithm employs multiple measurement iterations and calculates the average value for final RSSI determination. Furthermore, the reference distance path loss and path loss exponent parameters required in the logarithmic path loss model can be estimated through mutual measurements between reference anchor points. From an implementation perspective, this approach typically involves collecting RSSI samples using a sliding window technique and applying least-squares estimation for parameter calibration. The proposed methodology enhances algorithmic accuracy and improves result reliability by systematically handling measurement uncertainties and model parameter optimization.

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