Research On Joint Location Algorithm Based On Wireless Sensor Network

With the popularity of wireless sensor networks,it makes the wireless location technology popular.And the wireless location technology becomes the focus of research.It has been fully applied in many fields such as ground navigation,social location services,indoor positioning,etc.In traditional positioning technology,the positioning algorithms are just based on the time,amplitude or angle of the radio signal.The performance and effect of the positioning algorithms have reached the limit.Therefore,the problem in the current location technology is as a starting point of the thesis.And it has done some work on the following research:(1)The research background and applications of wireless location technology are described.Firstly,this article points out a number of difficult problems in the WSNs and expands the related concepts of wireless location technology.Secondly,it explained the location principle of some location methods in brief.Finally,it briefly introduces the commonly used channel models and positioning performance evaluation indexes in wireless location technology.(2)A hybrid location algorithm which focused on the TDOA and the RROA(Range Ratio of Arrival)is proposed.For Taylor series expansion method relies on the initial value problem,this article uses the location estimate of the RROA algorithm as the initial value of the algorithm.On the basis of the residual weighting process,a joint positioning algorithm based on RROA and TDOA is proposed.Given from the simulation results,the hybrid algorithm solves the problems of divergent in the Taylor series expansion method and the inaccuracy of iterative calculation.(3)A hybrid location algorithm focused on the DOA(Direction of Arrival)and RROA method is also proposed.For the problem of low location accuracy of the RROA algorithm,the DOA information needs to be added to the RROA location algorithm,the positioning fusion equations are reconstructed,so the accuracy of positioning is no longer completely dependent on the distance ratio information of the RROA algorithm.Finally,the computer simulation experiments show that when the variance of the DOA measurement error drops to a certain value,the joint algorithm has a further improvement in positioning accuracy compared with the RROA algorithm.