Novel statistical processing methods for wireless field strength prediction

This paper mainly deals with the statistical processing methods in wireless filed strength prediction process after sampling data are collected. The conventional standard for data collection and statistical processing in the prediction of wireless filed strength is Lee's criteria. It utilizes linear averaging to process sampling data, as many other related papers discussed. However, the accuracy of such first order moment estimation is low, especially under serious Rayleigh fading channels. As regards to the defects of the method, we propose four novel statistical processing methods to process the collected data for wireless field strength. Computer simulations and corresponding analysis verify its much better prediction results with small estimation variances.