RFID LANDMARC Algorithm and Weighted Average Power Calculation

This article explores the LANDMARC algorithm for RFID technology and the calculation of weighted average power. RFID technology is widely used for item identification and tracking applications. The LANDMARC algorithm serves as an indoor positioning solution that determines object locations within indoor environments. Weighted average power calculation provides a methodology for processing RFID signal strength measurements to enhance location accuracy. We will provide detailed explanations of these concepts along with implementation examples to demonstrate their practical applications. The implementation typically involves calculating reference tag signal strength patterns, applying Euclidean distance measurements between target and reference tags, and using k-nearest neighbors (k-NN) algorithm with inverse distance weighting for position estimation. Signal power weighting factors are computed based on RSSI (Received Signal Strength Indicator) values from multiple readers to improve localization precision.