Kriging Interpolation Algorithm: Implementation and Applications

The Kriging interpolation algorithm predicts unknown point values using known measurement data through spatial autocorrelation modeling, with implementations typically involving variogram analysis and linear unbiased estimation.

RSSI Localization Algorithm

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.