动态信号分析仪的硬件设计
发布时间:2018-01-11 05:24
本文关键词:动态信号分析仪的硬件设计 出处:《电子科技大学》2014年硕士论文 论文类型:学位论文
更多相关文章: 动态信号分析 信号源 高精度采集 FPGA 高精度数模转换
【摘要】:动态信号分析仪一直是噪声和振动分析、模态分析以及声学测试的主要测试仪器,广泛应用于航空航天、机械、环境和生物医疗等领域。动态信号分析仪把信号产生、信号采集、信号分析和处理等多种功能很好的融合在一起,能在时域、频域、幅值域上分析被测电信号所代表的物理量特征。论文首先介绍了动态信号分析仪的研究背景意义和国内外同类产品的发展状况,旨在设计一个具备高性能、大动态范围的实时动态信号分析仪,然后针对具体的性能指标进行了系统的需求分析,并根据需求分析提出了整机的硬件设计方案,论文接下来对系统各功能模块的硬件设计进行了详细的论述。整个系统包括动态信号输入调理模块、高精度采样及数据处理模块和激励信号源模块三部分。动态信号输入调理模块主要完成对输入动态信号的预处理,为了在分析带宽内获得最佳的动态范围,在高精度模数转换之前需要对输入信号进行相关的处理;在高精度采样及数据处理模块中运用过采样原理,提出采用两片∑-ΔADC实现对动态信号的高精度采集,同时基于软线无线电理论,设计了一个高效的动态信号数据处理模块,实现了数据缓存、数字下变频和数字滤波等处理;在激励信号源电路中应用直接数字频率合成技术,设计实现了一个能产生多种常用波形信号的信号发生电路。论文通过对系统硬件电路的调试和整机指标的测试,基本实现了仪器高达625kSa/s的采样率,102.4kHz的频率范围以及100dB动态范围的指标要求,验证了各个模块方案的可行性及有效性。
[Abstract]:Dynamic signal analyzer is the main testing instrument for noise and vibration analysis, modal analysis and acoustic testing. It is widely used in aerospace and machinery. Environment and biomedical fields. Dynamic signal analyser combines signal generation, signal acquisition, signal analysis and processing, and so on. It can be used in time domain and frequency domain. The paper first introduces the research background significance of dynamic signal analyzer and the development of similar products at home and abroad in order to design a high performance. Large dynamic range of real-time dynamic signal analyzer, and then according to the specific performance indicators of the system needs analysis, and according to the demand analysis of the whole machine hardware design. The hardware design of each function module of the system is discussed in detail. The whole system includes the dynamic signal input conditioning module. High precision sampling and data processing module and excitation signal source module three parts. Dynamic signal input conditioning module mainly completes the input dynamic signal preprocessing in order to obtain the best dynamic range in the analysis bandwidth. The input signal needs to be processed before high precision A / D conversion. In the module of high precision sampling and data processing, the principle of oversampling is applied, and two pieces of 鈭,
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