一种基于改进型KALMAN滤波器的目标定位算法  

A Location Algorithm of Target Based on Improved Kalman Filter

作　　者：王银坤[1] 肖明清[1] 

机构地区：[1]空军工程大学工程学院,陕西西安710038

出　　处：《空军工程大学学报（自然科学版）》2002年第5期17-20,共4页Journal of Air Force Engineering University(Natural Science Edition)

摘　　要：在以常规卡尔曼滤波器为基础的各种跟踪算法中 ,要求精确的模型和噪声统计 ,但在实际系统中 ,大多数情况不能满足上述要求。给出了考虑初始条件不精确性的改进型Kalman滤波器表达式 ,并在引入速度量测信息的基础上 ,运用该滤波方法进行空间目标二维定位。MonteCarlo仿真表明该方法降低了对模型精度的要求 ,在工程上是可行的。Accurate model and noise statistics are required in many tracking algorithms in existence based on the traditional Kalman filter which can't be satisfied in engineering application. In this paper an improved Kalman filter considering the inaccuracy in the filter's initial condition is presented, and by introducing velocity measurement, the method of the location with two coordinates to space target is given. Finally, a computer simulation shows the algorithm can help to lower the requirement of model's accuracy and is practical.

关 键 词：改进型KALMAN滤波器 目标定位算法 改进型卡尔曼滤波器 二维定位 精度分析 电子对抗 电磁干扰 目标跟踪 

分 类 号：TN953[电子电信—信号与信息处理]