Kalman滤波算法在定向测试中的应用

The Application of Kalman Filtering in the Orientation Test

通过对定向系统的输出数据进行实时分析,建立精确输出数据模型,并对模型参数进行估算。根据取得的精确输出模型方程,转换到kalman量测方程和状态方程,并对滤波参数进行估算,利用kalman滤波技术进行实时滤波处理。试验表明kalman滤波有效抑制输出数列的噪声,提高了定向测试的精度和稳定性。

Basing on the real-time analyses of the output series, the accurate model can be set and its parameters can be estimated. Trasforming the output model into the measurement kalman equation and state equation estimates the filtering parameters, the real-time Kalman filtering can be conducted. The test shows Kalman filtering can suppress the noise of the output series of the system effectively, and can improve the precision and the stability of the orientation tests.