Research On Passive Indoor Localization And Tarcking Algorithm Based On ZigBee Technology

For the channels, such as the cemetery and the tunnels, there is a characteristic, which is that it is needed to be monitored whether there are intrusion targets all the time. In the network covered by ZigBee nodes, according to the effect of the target on the signal, the target can be effectively detected and tracked. For such a demand, the paper researched the passive indoor localization and tracking algorithm based on the ZigBee technology.The paper firstly analyzed the effect on the signal by the intruding target, and then use the exponential model to observe the effect between the distance and signal change.The paper designed a probability-based localization algorithm in the channel environment based on CC2430 sensor node. According to the localization algorithm PLA, the paper designed the indoor mobile tracking algorithm. Based on the signal changes and the position, it calculates the sub-vector corresponding to the effective signal. After getting all the sub-vectors, the moving vector can be composed so that the target's trajectory can be tracked.What's more, the paper then optimizes the tracking algorithm. Considering the continuity of the intrusion target's moving trajectory, Markov-chain is used to give a weight to each sub-vector and calculate the weighted sum of all the sub-vectors.Experimental results show the soundness of the analytical approach and the tracking accuracy of the P1TM scheme are verified through extensive simulation, which also guides the design of more sophisticated indoor object tracking schemes.