Passive position location and tracking based on the extended Kalman filter

On the topic of the passive position location and tracking, some people have published many papers. In this paper, we will discuss the passive position location and tracking based on the extended Kalman filter In our experiments, the watching stations are stationary, but the targets are moving. We make the two watching stations work together at first, and obtain the original values for the extended Kalman filter. When the estimating or filtering error of Kalman filter is small enough, then rye can make two stations work seperately. So each station can at least track one target. In the end of this paper, we give out some simulation experiment results, from which we can verify the method we proposed.