Study On The Antagonism Against The Radar Stopping Radiating Of The Attack UAV

According to the need of UAV 憇 developing, this paper gives a new method based on target state estimation for the antagonism against the radar stopping radiating to enhance attack UAV抯 operational effectiveness and practicability. The operational process of the measure is that target-tracker relative state is estimated by using kalman filter (KF) when the UAV attacks target directly, and if the radar stops radiating, the passive seeker loses angle measurements, then the angle measurements can be estimated via KF and the attacking goes on. The measure has many virtues, such as being bought into effect easily, having less requirement for hardware and a favorable ratio of cost of performance. The main work of this paper is as follows: (1) Dynamic model of attack UAV is setted up; (2) KF equation is given and the stability of filter for antagonism against the radar stopping radiating is analyzed; (3) Several sub-optimal filters, such as extended KF, iterative KF, pseudo linear KF, modified extended KF, adaptive KF, are designed to solve nonlinear observation problem and filter volatilization in target state estimation for the antagonism against the radar stopping radiating. (4) UAV terminal guidance simulation software is designed and some results are given. The results of simulation for UAV terminal guidance show that the attacking precision has met the demand. All these testify that the measure is effective and feasible.