遥测速变参数自适应谱估计方法研究  

Research on adaptive spectral estimation method for telemetry fast-variation parameter

作　　者：朱学锋[1] 

机构地区：[1]92941部队,葫芦岛125000

出　　处：《电子测量技术》2017年第4期100-104,122,共6页Electronic Measurement Technology

摘　　要：针对靶场遥测速变信号处理对高分辨谱及非平稳信号处理的要求,在高分辨谱估计方法基础上,研究了最小均方准则(LMS)和最小二乘准则(LS)的自适应格型滤波算法,实现了LMS自适应格型滤波最大熵谱估计和LS自适应格型滤波ARMA谱估计。利用本研究方法对仿真数据和试验数据进行了大量的实验研究,并与经典周期图法、Burg最大熵法、Yule-Walker自回归法获得的谱估计进行对比。实验表明该方法适用于遥测速变信号的处理和分析,在改善谱分辨率的同时提高了算法的效率,为非平稳信号分析提供了时变谱估计方法,为深入研究导弹飞行振动特性、性能评估或故障诊断提供了新的分析工具。For high resolution spectrum and non-stationary signal processing requirements on range telemetry fastvariation signal,studied the minimum mean square error（LMS）and least squares（LS）adaptive lattice filter algorithm based on high resolution spectrum estimation method,and achieved the LMS adaptive lattice filter maximum entropy spectral estimation and LS adaptive lattice filter ARMA spectrum estimation.The simulation data and experimental data are studied by the method of this paper.The results are compared with the classical period map method,the Burg maximum entropy method and the Yule-Walker auto regression method.Experiments show that this method is applicable to the processing and analysis of telemetry fast-variation signal,while improving spectrum resolution improves the efficiency of the algorithm,provides a time-varying spectrum estimation method for non-stationary signal analysis,provides a new analysis tool for research on vibration characteristics of missile flight,in-depth performance evaluation or fault diagnosis.

关 键 词：功率谱 ARMA模型 格型滤波 最小均方准则 最小二乘准则 

分 类 号：TN911.72[电子电信—通信与信息系统]