基于滤波方法提高精寻北阶段的寻北精度

为了解决摆式陀螺寻北仪在复杂环境下寻北精度不高的问题,在分析寻北过程各个阶段信号特点的基础上,将滤波方法引入精寻北阶段的陀螺信号处理中。该文使用最小均方算法(LMS)自适应滤波、滑动均值滤波、低通滤波及中值滤波对精寻北阶段陀螺信号进行处理,然后对滤波效果进行了分析比对,并进行了精度分析。结果表明,滤波处理后的精寻北阶段数据信号较之前更平滑,波动减小,有利于提高寻北结果的准确度,且经计算,滑动均值滤波的处理结果精度更高。使用滤波方法对陀螺信号进行处理,减小了信号的精度损失,提高了寻北结果的精度和可靠度,具有良好的工程实践性。

Improving North Seeking Precision of Precision North Seeking Stage Based on Filtering Method

In order to solve the problem of the pendulous gyroscope north seeking accuracy inthe complex working conditions, on the basis of the gyro signal which has been collected in the whole north seeking period, the filtering method is introduced into the signal processing of the precision north seeking stage.In this paper, the moving average filter, low pass filter, median filter andleast mean square (LMS) adaptive filter are used to process the gyro signals in the north seeking phase, then the filtering effect is analyzed and compared. The results show that the precision of data processing is better than before, and the fluctuation is reduced, which is helpful to improve the accuracy of north seeking. And the calculation results show that the moving average value filter has higher precision. It can reduce the precision loss of the signal and improve the precision and reliability of the north seeking results by using the filter method.