一种改进的α-β目标跟踪滤波算法

Adaptive α-β filter algorithm

数据处理系统是相控阵雷达实现搜索和对多目标精确跟踪的关键部分,目标跟踪滤波算法的优劣将直接决定系统的性能。介绍了一种改进的α-β滤波算法,然后将它和最小二乘滤波算法、卡尔曼滤波算法进行比较,对三种算法跟踪空中目标的直线飞行、改变航向的直线飞行两种情况的距离、方位、速度和航向等参数的均方差加以分析,证明了改进的α-β滤波算法在直线飞行模型下有着很好的综合效果,且计算量小,更有利于系统建模与仿真。

Data processing system is the key of phased array radar search and multi-target tracking, and the tracking filter algorithm will directly determine the merits of the system＇s performance. Adaptive α-β filter algorithm was introduced, and then it was compared to LSR filter algorithm and Kalman filter algorithm, the mean square deviation of distance, position, speed and direction of these algorithms on the flight line was analyzed to discuss the specific use of the three filters in straightline flight and about-shlp straight-line flight. The experimental results prove that the adaptive α-βfilter algorithm has good effect in straight-llne with small computational complexity, and it is in favor of modeling and simulation.