24GHz调频连续波雷达信号处理技术研究

发布时间：2018-03-07 08:26

  本文选题：FMCW雷达　切入点：雷达信号处理　出处：《南京理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：近年来,随着毫米波器件、电路及天线技术的提升,毫米波雷达的应用也获得了很大的发展。随着我国经济的飞速发展,民用领域对雷达的需求也越来越多。其中,24GHz调频连续波(FMCW)雷达在汽车防撞、自适应巡航控制、交通监管等领域均有广泛的应用,人们对此开展了很多的研究。中频信号处理是整个雷达系统不可或缺的部分,本文针对24GHz调频连续波雷达信号处理方法进行了较为深入的研究。本论文的主要工作包括两个方面,算法的研究和硬件平台的实现,具体如下:1、24GHzFMCW雷达的算法的研究。首先对差拍信号进行了数学建模,详细分析了它的时域和频域特性,给出了目标检测的数学依据;对单目标检测的各个流程如FIR滤波、加窗FFT、恒虚警处理、积累处理等进行了研究,给出了一种能提高频率测量精度的方法;最后,对多目标检测中的不同波形设计进行了研究,针对传统波形中的多目标配对困难的问题,提出了一种改进的波形,仿真结果验证了方案的可行性。2、基于TMS320C6748的硬件平台搭建。以TMS320C6748为核心板来搭建硬件平台,控制采用D/A和A/D模块输出所需要的三角波及对中频信号进行采样,完成基本算法在DSP里的实现。最后,给出实际测试结果,对算法的正确性和可行性进行了验证。
[Abstract]:In recent years, with the improvement of millimeter-wave devices, circuits and antenna technology, the application of millimeter-wave radar has been greatly developed. Among them, 24GHz FMCW radar is widely used in automobile collision prevention, adaptive cruise control, traffic supervision and so on. People have carried out a lot of research on this. If signal processing is an indispensable part of the whole radar system. In this paper, the signal processing method of 24GHz FM CW radar is studied deeply. The main work of this thesis includes two aspects: the research of algorithm and the realization of hardware platform. The details are as follows: 1) the algorithm of 24GHz FMCW radar is studied. Firstly, the mathematical model of the beat signal is established, the time and frequency domain characteristics of the signal are analyzed in detail, the mathematical basis of target detection is given, and the flow of single target detection, such as FIR filter, is given. Windowed FFT, CFAR processing, accumulation processing and so on are studied, and a method to improve the accuracy of frequency measurement is given. Finally, the design of different waveforms in multi-target detection is studied. In view of the difficulty of multi-target matching in traditional waveforms, an improved waveform is proposed. The simulation results verify the feasibility of the scheme. The hardware platform is built based on TMS320C6748, and the hardware platform is built with TMS320C6748 as the core board. In the control, the if signal is sampled by the triangle wave of D / A and A / D module output, and the realization of the basic algorithm in DSP is completed. Finally, the actual test results are given, and the correctness and feasibility of the algorithm are verified.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN957.51

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