Studies On Location And Tracking Method Of Sky-wave Over-the-horizon Radiation Source

Sky-wave over-the-horizon radiation sources are divided into active and passive sources.Because of the long distance of sky-wave propagation and the complex propagation environment,it is difficult to location and tracking.Therefore,the research on location and tracking of sky-wave over-the-horizon radiation source is one of the hot research directions in the field of national defense science and technology.This paper mainly focuses on the problem of sky-wave over-the-horizon radiation source location and tracking.The main work is as follows:1.The location method of sky-wave over-the-horizon radiation sources is studied.Firstly,the models used in the sky-wave over-the-horizon active radiation sources location system are studied.Then,the time delay estimation algorithm and parameter estimation algorithm used in location based in TDOA method are analyzed through simulation experiments.At the same time,the influence of the number of receivers on the location error in the location system of sky-wave over-the-horizon active radiation sources is briefly analyzed.2.The motion model and tracking filtering algorithm used in the location and tracking of sky-wave over-the-horizon passive radiation sources are studied.The characteristics of each motion model are analyzed through simulation experiments,and several classical tracking filtering algorithms are compared.The simulation results show that the filtering performance of particle filter in non-linear non-Gaussian system is obviously better than the EKF algorithm,with smaller error and higher accuracy.3.Aiming at the problem of particle degradation and particle dilution in the iteration process of particle filter algorithm,this paper proposes the corresponding improved algorithm.This paper improves the particle filter from the selection of the importance density function and the improvement of the resampling method.Firstly,CKF is used to generate the importance density function,and then differential evolution algorithm is used to replace the traditional resampling process,thus a new differential evolution cubature particle filter algorithm is proposed.The simulation results show that the proposed algorithm effectively overcomes particle degradation and particle dilution,improves particle utilization,reduces filtering error and improves filtering accuracy.4.The problem of sky-wave over-the-horizon passive radiation sources location and tracking in complex environments is studied.Aiming at the problem of high-density clutter environment in passive radiation sources location and tracking,the nearest neighbor interconnection algorithm and probabilistic data association algorithm are introduced,and the state updating process of probabilistic data association algorithm is improved by differential evolution cubature particle filter.A new probabilistic data association algorithm based on differential evolution cubature particle filter is proposed.The simulation results show that the improved algorithm has a good effect on the location and tracking of the skywave over-the-horizon passive radiation sources in complex environment,and the tracking errors are lower than those of the nearest neighbor data association algorithm and the probabilistic data association algorithm.