摘要
目前,在飞行目标的实时数据处理中普遍采用的是Kalman滤波。实际情况中,Kalman滤波方程所假定的系统噪声和量测噪声常是有色噪声序列,运用状态扩充法和量测扩增法推导的卡尔曼滤波公式,可满足在色噪声情况下实时数据处理对滤波器提出的要求。
Kalman filtering is one of the most important tools in modern aim processes. however,in fact,the system noise and the measured noise used to be independent colored noises with zero mean value in the basic Kalman filtering equations. The paper deduces Kalman filtering equations that are suitable for the situation where the system noise and the measured noise are both colored ones, making use of the state expand method and the measurement expand method.
出处
《计算机与数字工程》
2008年第4期143-145,共3页
Computer & Digital Engineering
