遥测振动信号功率谱密度压缩算法  

Telemetry Vibration Signal Power Spectral Density Algorithm

作　　者：栗媛 孔凡玲 张凡 施睿 焦新泉[1] LI Yuan;KONG Fanling;ZHANG Fan;SHI Rui;JIAO Xinquan(State Key Laboratory of Electronic Measurement Technology,North University of China,Taiyuan 030051;Key Laboratory of Space Physics,Beijing 100071)

机构地区：[1]中北大学电子测试技术国家重点实验室,太原030051 [2]空间物理重点实验室,北京100071

出　　处：《舰船电子工程》2023年第12期86-90,共5页Ship Electronic Engineering

摘　　要：针对弹载飞行期间传输带宽受限的问题,设计出了一种遥测振动信号功率谱密度压缩算法,将传输遥测振动信号转化为传输功率谱密度(Power Spectral Density,PSD)信号。通过比较不同窗函数的特性,选取出最适合遥测振动信号的截断函数。并且,采用频域平均法减少随机分量对谱分析结果的影响,实现对数据的压缩。Matlab仿真结果表明,选用汉宁窗能够有效抑制旁瓣电平削弱频谱泄露现象。该算法将数据量压缩至5%,大大提高了弹载飞行的传输效率。To solve the problem of limited transmission bandwidth during missile-borne flight,a power spectral density com⁃pression algorithm for telemetry vibration signals is designed to convert the transmitted telemetry vibration signals into transmitted power Spectral density(PSD)signals.By comparing the characteristics of different window functions,the truncation function which is most suitable for telemetry vibration signal is selected.In addition,the frequency domain averaging method is used to reduce the influence of random components on the spectral analysis results and to compress the data.Matlab simulation results show that Han⁃ning window can effectively suppress the sidelobe level weakening spectrum leakage phenomenon.The algorithm compresses the da⁃ta volume to 5%,which greatly improves the transmission efficiency of missile-borne flight.

关 键 词：功率谱密度 窗函数 频谱泄露 数据压缩 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]