Matlab微多普勒信号分离与参数提取方法研究

摘要微多普勒效应是目标微动对雷达回波所产生的频率调制现象。理论上可以对空中一切目标进行识别，但由于某些因素（例如飞机有主螺旋桨和机尾桨同时产生微动）的限制，实际录取的信号往往具有更多分量。为实现对空中目标的微多普勒信号的提取和分离，本文在前人所做工作的基础上，从特征提取和信号处理方面对空中运动目标进行了研究,内容包括以下几个方面:80399

1。给出了微动的定义，并引入微多普勒，建立常见的模型，通过推导运算，得出振动和转动的理论瞬时频率。

2。先对一般微动目标回波信号从时频和频谱分析，引入WV变换、PWV变换和SPWV变换对微多普勒信号频谱进行变换，并对其变换特点进行理论分析。

3。使用Matlab软件，分别对WV分布、PWV分布以及SPWV分布处理单分量点微多普勒信号进行仿真，得出三种分布对单分量信号处理都较好的结论；对WV分布、PWV分布以及SPWV分布处理多分量点微多普勒信号进行仿真，得出PWV分布和SPWV分布处理多分量微动信号较好的结论。

毕业论文关键词微动微多普勒时频分析瞬时频率参数估计

毕业设计说明书外文摘要

Title Study on micro - Doppler signal separation and parameter extraction method

Abstract

Micro-Doppler effect is the goal of the jog radar echo produced by frequency modulation phenomena [4]。 However, due to certain factors (such as the main aircraft propellers and aircraft tail rotor while fretting) restrictions, the actual taking of the data signal to noise ratio tends to be lower than ideal。 Based on previous work done on the feature extraction and signal processing for air moving targets were studied, including the following aspects:

1。 The definitions given fretting, and the introduction of micro-Doppler, establish a common model, by derivation operation, vibration and theoretical draw instantaneous frequency of rotation。

2。 From the first time-frequency and spectrum analysis, the introduction of the relevant conversion and theoretical analysis of their strengths and weaknesses on the general jog target echo signal。

3。 Use Matlab respectively WV distribution, PWV distribution and SPWV distributed processing unit (multiple) scattering microsatellite Doppler signal simulation, to verify the accuracy of the theory。

Keywords Fretting; micro-Doppler; time-frequency analysis; instantaneous frequency; parameter estimation

1 绪论 1

1。1研究背景及意义 1

1。2国内外的研究动态 2

1。3本文研究内容 3

2 微动目标的运动模型及其微多普勒回波分析 4

2。1引言 4

2。2微动的理论数学模型 6

2。3振动引起的多普勒效应 8

2。4旋转引起的多普勒效应 10

2。5微多普勒信号的统一表示 13

2。6总结 13

3 单分量微多普勒信号提取与分析 15

3。1引言 15

3。2微多普勒信号频谱分析 Matlab微多普勒信号分离与参数提取方法研究:http://www.youerw.com/tongxin/lunwen_93380.html