基于滤波方法提高精寻北阶段的寻北精度

发布时间：2018-12-14 13:05

【摘要】：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。
[Abstract]:In order to solve the problem that the precision of the pendulum gyroscope north finder is not high in the complex environment, the filtering method is introduced into the gyro signal processing in the fine north seeking stage on the basis of analyzing the characteristics of the signals in each stage of the north seeking process. In this paper, the (LMS) adaptive filter, sliding mean filter, low pass filter and median filter are used to process the gyro signal in the stage of fine north-seeking. Then, the filtering effect is analyzed and compared, and the precision is analyzed. The results show that the processed data signal is smoother and less fluctuating than before, which is helpful to improve the accuracy of the results. The accuracy of the processing results of the sliding mean filter is higher than that of the previous ones. The filtering method is used to process the gyro signal, which reduces the loss of the signal precision, improves the accuracy and reliability of the north-finding result, and has good engineering practicability.
【作者单位】：火箭军工程大学军队重点实验室;中国人民解放军第1001厂;
【基金】：国家自然科学基金资助项目(51475462)
【分类号】：TN965

【相似文献】