自适应滤波在动态推力测量中的应用  

Application of Adaptive Filter in Dynamic Thrust Measurement

作　　者：陈琳[1,2] 李建勋[1] 戴虎[1] 俞春生 徐繁荣 

机构地区：[1]上海交通大学自动化系,上海200240 [2]上海空间推进研究所,上海200331

出　　处：《宇航学报》2010年第7期1819-1824,共6页Journal of Astronautics

基　　金：国家自然科学基金(60304007);航天支撑技术基金(2008-HT-SHJD003)

摘　　要：动态推力测量过程中的干扰信号频谱经常与有用信号重叠,经典的模拟滤波或数字滤波方法难以取得良好的效果。基于LMS的自适应滤波器具有自动调整其自身参数的能力,几乎不需要信号和噪声特征的先验知识。针对不同的动态推力测量信号,设计不同的滤波器结构,以实现相应的周期信号提取以及信号增强。仿真结果表明,相比传统数字滤波,基于LMS的自适应滤波方法具有明显的优越性。处理实测数据时,对动态推力测量系统的辨识或对动态推力信号特征的先验知识有助于增强自适应滤波的效果。The spectra of in dynamic thrust measurement always overlay with the measuring signal,which degrades the performance of classical analog and digital filters. Due to the ability to adjust its parameters automatically,the adaptive filter,based on the least mean square （LMS） algorithm,requires little or no prior knowledge of the signal and the noises. In this paper,several kinds of adaptive filters are adopted to realize noise canceling,signal enhancement and periodic signal extraction according to different signals in dynamic thrust measurement. Simulation results demonstrate that adaptive filters are superior to traditional digital filters in dynamic thrust measurement. In the process of real measured data,the identification of dynamic thrust measurement system and the prior knowledge of dynamic thrust signal contribute to better performance of adaptive filter.

关 键 词：动态推力测量 自适应滤波 自适应噪声消除 信号增强 周期信号提取 

分 类 号：V434.3[航空宇航科学与技术—航空宇航推进理论与工程]