α-β滤波器在相控阵雷达机动目标跟踪中的应用

Application of α-β Filter in Tracking Maneuvering Target Using Phased-array Radar

建立机动目标的常速度模型、常加速度模型,对α-β滤波器在相控阵雷达对机动目标跟踪中的应用进行了Matlab仿真,提出利用变采样率方法减少跟踪误差的方法,并与Kalman滤波跟踪效果进行比较.仿真结果表明:采用变采样间隔方法,可通过提高采样率,减少目标机动时的跟踪误差,且在不增加计算复杂度的情况下,比普通的Kalman滤波器更有效.

Establishing maneuvering target's CV & CA model, the application of tracking methodology for phased-array radar using alpha-beta(-gamma) α-β filter has been emulated using Matlab. In the end, the performance of the variable sampling constant gain filter was tested, compared with Kalman filter. Using this algorithm, it has demonstrated that the tracking performance increases with increased sampling rate, decreased observation variance, is more effective than common Kalman filter without increasing computational complexity.