一种新的干涉测角数据处理算法

A New Data Processing Algorithm for Angle Measurement with Interferometer

提出了一种新的干涉测角数据处理算法.该算法对相位干涉仪测角中因相位解模糊出错产生的错误角度值进行野值剔除,之后引入一种新的2阶修正卡尔曼滤波器对野值剔除后的角度进行平滑滤波,保证在稳定跟踪角度的同时精确地估计出角速度.实验结果表明,该算法对静态、匀速和匀加速3种角运动规律均具有较高的跟踪精度,同时对一般角加速运动也具有较好的跟踪能力.

A new data processing algorithm for angle measurement with interferometer is presented. The algorithm removes angle outliers from wrong phase ambiguity value, filters the angle with a new 2nd order improved Kalman filter, which can stably track the angle and accurately estimate the angular rate. The results of experiment showed that the algorithm has high tracking accuracy for static, uniform, uniformly accelerated angular movement, and also has good tracking ability for general angular accelerated movement.