中文摘要：

提出了一种基于最小均方（LMS）算法的数据采集系统动态传输特性获取方法。在建立数据采集系统FIR滤波器模型的基础上,以正弦信号为系统输入,以采集处理后的实验数据为系统输出,利用LMS算法反推系统的通道模型参数,计算系统对正弦信号的幅度衰减、相位延迟和噪声参杂3个动态传输特性;在方法研究的基础上,搭建了相关实验验证平台,分别进行了系统仿真和硬件验证实验。仿真实验中,3个动态传输特性的识别精度均在98%以上,证明了算法在理论上的可行性;硬件验证实验中,传输特性的平均识别精度均在96%以上,表明本文所提数据采集系统动态传输特性获取方法有效可行,且具有很好的数据动态传输特性识别精度。

英文摘要：

There is an important significance for the design,verification and improvement of data acquisi tion system to obtain the transmission properties. To accurately obtain the dynamic transmission proper ties of data acquisition system,a data acquisition system based on least mean square （LMS） algorithm is proposed in this paper. An FIR filter model for the data acquisition system is constructed at first, then a sinusoidal signal is used as system input, and the acquisition signal is taken as the system output. Finally, the system path parameters are computed using LMS algorithm to obtain the dynamic transmission properties, including amplitude attenuation, phasic translation and mixed noise. Based on research of theory, an experimental platform is built, both simulation experiment and hardware verification are done, and then the experiment data is analyzed and compared. In the simulation,the recognition accuracies of three dynamic transmission properties are all above 98 ;, proving the feasibility of the algorithm in theory. In the Hardware validation, the average recognition accuracies are all higher than 96%, which indicates that the proposed method is effective and feasible to obtain data acquisition system transmission properties with high-precision for dynamic transmission.