Research In Improved Location Algorithm Of Wireless Moving Target Based On Zigbee

With the rapid development of modern technology, more and more applications about the wireless sensor network and the internet of things has been applied widely in some fileds. In these applications the wireless moving target location technique is gaining increasing attention for its higher accuracy, lower complexity and cost etc.A WSN location system based on RSSI ranging and location algorithm is studied in this thesis. Firstly the optimizing location parameters A and propagation factor n in wireless channel model are obtained through the RSSI real values from WSN nodes made up by CC2530. Secondly the random errors of sampling data are compensated for getting higher accurate estimated distance between location node and reference nodes by data Kalman filter and linear interpolation. Finally a improved triangle centroid location algorithm is proposed and stimulated on Matlab. The stimulation result show that the improved algorithm proposed get higher location accuracy than traditional weighted centroid algorithm. We got a better result of an average 0.7m location accuracy in the testing environment.This improved algorithm not only restrained some data errors and divergences effectively, but also fully made modulation and compensation on random errors in real environment by linear interpolation for obtaining higher location accuracy.