Research On Space Target Location And Tracking Algorithm Based On Wireless Network

With the development of Intelligent Wearable Device,Mobile Internet and Wireless Communication Network,omnibearing positioning and tracking service have been integrated into our daily life.Meanwhile,tracing and positioning have been growth industries as the time require.The mobile terminal tracing and positioning algorithms get much attention in academic and commercial circles.In this paper,the positioning algorithm in space and filtering algorithm in tracing are main research contents.The main work is the following:(1)Firstly we introduce the common location algorithms,and display their(Range-based)3-D spatial model and experimental simulation.Then the target tracing models in space are introduced.Finally their performance evaluation methods are discussed.(2)Compared with the common positioning and tracing algorithms based on TOA value,we propose least squares method combined with Taylor expansion and location optimization algorithm.The proposed least squares method has better effectiveness in positioning accuracy and the error can be controlled within 1 meter.Besides,the location optimization method achieves positioning with minimum base stations.The algorithm accuracy can reach CramerRao lower band.(3)Because the degree of influence on the point to point is inversely proportional to the distance,we propose weighted Kalman filtering algorithm,which add the inverse of distance square to Kalman gain weights.The target trajectory fits better with the improved method.The error is controlled within 3 meters for the linear motion system,and for the nonlinear motion system is controlled within 20 meters.The improved least squares method performs better in positioning accuracy and error.The weighted Kalman filtering algorithm reduces the influence of noise,which makes the calculated trajectory more consistent with the real trajectory.