基于Matlab的FMCW（調(diào)頻連續(xù)波）的中頻正交處理和脈沖壓縮處理

電子通信論文編號(hào):TX048       論文字?jǐn)?shù):13324,頁(yè)數(shù):42

目  錄
Abstract   2
引言   4
0.1問(wèn)題的提出  4
0.2論文的內(nèi)容   5
第一章 信號(hào)采樣理論   6
1.1基本采樣理論   6
1.2帶通信號(hào)采樣理論   7
第二章 信號(hào)正交變換理論   10
2.1 信號(hào)正交變換原理   10
2.2數(shù)字混頻正交變換   14
2.2.1 窄帶信號(hào)的正交分解與模擬域?qū)崿F(xiàn)   14
2.2.2數(shù)字混頻正交變換   16
2.2.3 單通道軟件無(wú)線電接收機(jī)數(shù)學(xué)模型   17
第三章 信號(hào)脈沖壓縮原理  20
3.1脈沖壓縮概念   20
3.2脈沖壓縮的原理   22
3.3匹配濾波器理論   24
第四章FMCW信號(hào)處理   25
4.1 FMCW信號(hào)   25
4.2 FMCW信號(hào)中頻正交   28
4.3 FMCW信號(hào)脈沖壓縮   33
總結(jié)   36
參考文獻(xiàn)  38
附錄1   38
附錄2   39

摘 要
軟件無(wú)線電理論中包含（1）正交變換、（2）脈沖壓縮兩個(gè)基本技術(shù)原理。對(duì)接收到的高頻信號(hào)進(jìn)行全數(shù)字正交相干檢波是十分重要的，它保留了信號(hào)復(fù)包絡(luò)的完整信息，包括振幅和相位,因此可以很好的提取有用信號(hào)，對(duì)其進(jìn)行后續(xù)處理；在匹配濾波器理論指導(dǎo)下提出的人們提出了脈沖壓縮概念，脈沖壓縮體制較好的解決了作用距離和分辨力之間的矛盾實(shí)現(xiàn)了提高雷達(dá)距離分辨力的要求。
為了說(shuō)明第一個(gè)原理，本文用線性調(diào)頻連續(xù)（FMCW）信號(hào)為例，采用最基本的方法——低通濾波法的實(shí)現(xiàn)方法來(lái)對(duì)其進(jìn)行簡(jiǎn)單介紹和仿真分析。
為了說(shuō)明第二個(gè)原理，本文則通過(guò)對(duì)匹配濾波器原理的介紹以及設(shè)計(jì)和仿真分析來(lái)說(shuō)明。

關(guān)鍵字  線性調(diào)頻信號(hào)   正交變換   脈沖壓縮    匹配濾波

Abstract
Software Radio theory contains (1) orthorhombic transformation and(2) pulse – compression basic theories. It's very important to process digital orthorhombic demodulation. The orthorhombic signal holds all of the information of the received signal, It contains swing and phase of the received signal which can be used to pick-up the available signal. So it is very helpful for the next digital signal procession. In virtue of the theory of matching filter ,some scholar began to say pulse – compression conception The system of pulse – compression better solves the contradiction of effect distance and resolving power. It meets the need of improving the radar effect distance and resolving power.
To illuminate the orthorhombic transformation principle, take FMCW ( frequency modulation continuous wave) for example, We introduce the low passed filter method and emulation the orthorhombic transformation process of FMCW signal in the Matlab.
To  illuminate  the  pulse – compression  principle, We particular expound the theory of matching filter, because ,in fact, the pulse – compression process is just a process of the design of a matching filter.

Key words  FMCW  orthorhombic transformation     pulse – compression
            matching filter