Kalman filtering can be used for target tracking

both in electronic scan radar systems and in mechnical scan radar systems. In the former systems

it is used to directly initiate beams to move

while in the latter systems

it is used for exact measurement without the problems caused by servo tracking structure. The tracking loop formed by Kalman filtering will have target bias-zero tracked

when working in parallel with the servo-tracking loop. The state estimation of Kalman filtering serves as coordinate output of radar measurement as well as complex control signal for serve systems

so as to realize computer-aided-tracking. The video closing test shows that it" has satisfacfory performance.In order to improve the accuracy and to solve the problems caused by the difference between model designing and actual moving of targets

this paper presents an adaptive method of detecting maneuvering by mean-variance and modifying gain directly. The flying tests of an experimental scan array radar shows that this method has more effective result than those without adaptive constant coefficient tracking systems.