On the basis of the extended Kalman Filter(EKF) and the decaying extended Kalman Filter,this paper makes use of the modified strong tracking filter(STF) to estimate the maneuvering target information without all measurement information.

A new tracking filter was proposed for the highly non-linear single observer passive location and tracking(SOPLAT)system,where the common tracking filters often failed to catch and kept tracking of the emitter.

But to the CW pulse signal with changing frequency, it is difficulte to realize tracking filter with common narrowband filter.

Based on the basic principle of data processing of Phased Array Radar,this paper presents the simulation structure of the data processing system of a Space Surveillance Phased Array(SSPA) radar and its key algorithms such as data association and track filter.

α-β filter algorithm with data pre-processing is described in this paper based on a certain type of radar in order to improve the precision of radar range.

In this paper,the process of information provided by seeker with α-β filter arithmetic and the filter smoothness to the forecast burst angle through adaptive recursive least squares method is studied for the missile fuze system of beam controlled burst.

After timely matching the information measured by every sensor and fusing the data,the targets are being tracked by α-β filter,the simulation results show that the method is feasible and satisfying.