毫米波线性调频连续波雷达测距及特征提取算法研究
毕业论文关键词 毫米波 线性调频雷达 信号分析 主元分析 雷达测距 目标仿真 特征提取算法
Title Millimeter wave LFMCW radar ranging and feature extraction algorithm research
Abstract Millimeter-wave LFMCW radar combined the advantages of millimeter wave radar and LFMCW radar，being paid more increasing attention from all over the world. Compared with microwave radar, LFMCW millimeter-wave radar can achieve wider frequency bandwidth and obtain higher range resolution. Despite of using the smaller antenna, it also can produce very high angular resolution. In recent years, research on millimeter wave technology is in continuous development and becomes more and more mature, the application fields of millimeter wave technology are also expanding constantly. It is widely used in radar, communication, precision guidance, remote sensing, radio astronomy, medicine, biology, especially active in radar. PCA is a kind of data analysis technology, the most important application of this technology is to simplify data. As it's name saying: principal component analysis, this method can find the "main" elements and structure of the data effectively, remove the noise and redundancy, reduce the dimensions of original complex data, reveal the simple structure hidden behind the complex data. It has the advantages of uncomplicated, and no parameter restrictions, can be easily used in various occasions. This paper first describes the backgrounds and significance of the research on millimeter wave FMCW radar, and then put forward the difficulties of target feature extraction. The second chapter analyzes the principle of the linear frequency modulation radar, and sums up its unique advantages and disadvantages based on the linear frequency modulation continuous wave radar working principle, founds the equivalent signal and system simulation model for the radar system, performs the matlab simulation of the signal of linear frequency modulation system and matlab simulation using linear frequency modulation ranging method. The third chapter analyzes the principle and feature extraction method of principal component analysis. Experimental parts extract the simulation range image of two kinds of ground targets as the principal component extraction.
Keywords Millimeter wave Linear frequency modulated radar Signal analysis Principal component analysis Radar ranging Target simulation Feature extraction algorithm
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