项目名称： 端频率信号的离散频谱校正方法及应用基础研究

项目编号： No.61501491

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 无线电电子学、电信技术

项目作者： 毛育文

作者单位： 中国人民解放军陆军勤务学院

项目金额： 20万元

中文摘要： 在状态监测与故障诊断、仪器仪表信号处理等领域，大量存在着以下一类信号：信号特征频率往往具有低于一个DFT频率分辨率（极端低频）、接近奈奎斯特频率（极端高频）等特点，其频率靠近分析频谱的两端，本项目称之为“端频率信号”。当采样频率相对信号频率较高、采样点数较少时，此类极短时信号也靠近频谱的极低频端。针对端频率信号，现有离散频谱校正方法效果很不理想，在精度、实时性等方面难以满足工程需要。本项目在分析端频率信号谱线干涉机理的基础上，提出计及负频率影响的极短时单频信号离散频谱融合校正方法、含单一频率分量和含密集频率分量的端频率信号离散频谱校正方法，并通过油料泵机组、科氏流量计和LFMCW雷达测距系统进行应用实验验证，着重解决端频率信号受负频率干涉严重、密集端频率信号频谱细化等关键问题，达到提高端频率信号离散频谱校正精度的目的，为状态监测与故障诊断、仪器仪表等工程应用提供相关信号处理理论和方法支撑。

中文关键词： 离散频谱校正；端频率信号；负频率；信号估计；参量检测

英文摘要： There exist mass of the following characteristic signals: the characteristic frequency of the signal are often located at the margin of spectrum, effective information is contained in the extremely low frequency components (frequencies below single DFT frequency resolution) or ultra high frequency components (frequency close to half the sampling frequency, that is, the Nyquist frequency).In addition, extremely low frequency components also include another case: when the signal duration is shorter, and the sampling frequency is larger, the signal characteristic frequency is relatively at the low-frequency position in the spectrum. Research shows that the impact of negative frequency on spectrum is generally not considered in existing discrete spectrum correction methods, which results in a bigger error, or even failure in the results of discrete spectrum correction. This program plans to put forward discrete spectrum correction methods for such margin signal, in order to give preciser spectrum parameters. Experiment based on Oil pump, Coriolis Mass Flow-meter and LFMCW radar system will be carried out to verify the proposed methods.

英文关键词： Discrete spectrum correction;Margin frequency signal;Negative frequency;Signal estimation;Parameter detection