Research On The Algorithm Of Wireless Sensor Networks Target Tracking Based On Particle Filter

Recent advances in the communications, embedded system, sensor technology and micro-electro-mechanical(MEMS) have enabled the appearance of wireless sensors, which have the ability of apperception, computation, and communication. Compared with traditional sensor, Wireless sensors are small in size, low-cost, and low power. Target tracking, which aims at confirming the position, number and movement direction of target is now popularly used in military and civil aspects, such as monitor and control, navigation and so on. With the development of wireless sensor, target tracking based on wireless sensor network has been hot point.The thesis introduces particle filter into the problem of target tracking in WSN. Particle filter makes a good perfomance in solving such nonlinear/non-Gaussian problem as target tracking. This thesis also makes a modeling of target tracking and uses a new particle filter to provide the algorithm of target tracking. The research of particle filter algorithm and how to modeling target tracking is the main task of this paper.The main research work and contributions of this paper are as follows: firstly introduce and generally analyze the basic algorithm of target tracking, and choose particle filter, which makes a good performance in solving nonlinear/non-Gaussian problem, for the target tracking in WSN. Secondly, generally analyze the particle filter, discuss its potential questions and possible solutions and provide a new better particle filter-MKPF. Finally we apply the MKPF in the Wireless Sensor Net(WSN) which attracts people these years. Corporating data fusion, entropy of expected posterior distribution, kernel representation and so on, we realize the maneuvering target tracing. And we simulate the application though MATLB.It is worthwhile to do the further research on target tracking based on wireless sensor network because of its enormous potentials. At the end of the thesis, it describes the bright prospects of target tracking in WSN.