Passive Tracking And Trajectory Prediction To Maneuvering Targets Of Near Space

The text is a study about passive tracking and trajectory prediction to hypersonicvelocity maneuvering targets HTV-2and X-51of near space, which were made byseveral passive sensors. And their main works as follows:In order to tail after the object accurately and make precise prediction to trajectoryfirst we make equation of motion of objective and information equation of aspect angleof object which will be observed by passive sensor. And then make reasonable motionmodel by equation of motion of objective and deduce the equation of state of HTV-2which is on motion model and deduce extended kalman filtering, pseudolinear filter,unscented kalman filter and least square kalman filter by their motion state of equationand measure equation. Make passive tracking to HTV-2by those filtering algorithmsto redefine quality standard of filtering algorithm and analyze and compare thesimulation results of those filtering methods.Next we make passive tracking and trajectory prediction to X-51which is on singlemodel. We will choose suitable model according to the kinetic characteristic of X-51and deduce equation of motion of X-51on the single model and we combined measureequation to worked out extended kalman filtering, pseudolinear filter, unscented kalmanfilter and least square kalman filter which will make passive tracking and and finish thesubsequent trajectory prediction to X-51.At last, we make passive a tracing of X-51on occasion that sinusoidalmaneuvering frequency of Z direction was unknown. we use interacting multiple modelon the passive tracing of X-51and make two filtering algorithms of extended kalmanfiltering and least square kalman filter of interacting multiple model and by theirsimulation results we know the arithmetic can make a passive tracing to X-51onparameter unclear situation.