基于互相关函数的毫米波雷达测距算法研究

J4 ›› 2018, Vol. 35 ›› Issue (2): 216-224.

基于互相关函数的毫米波雷达测距算法研究

曹洁¹,祝菲菲²

1兰州理工大学计算机与通信学院, 甘肃兰州 730050; 2甘肃省制造业信息化工程研究中心, 甘肃兰州 730050; 3兰州理工大学电气工程与信息工程学院, 甘肃兰州 730050

收稿日期:2017-01-16 修回日期:2017-02-16 出版日期:2018-03-28 发布日期:2018-03-30
通讯作者: 祝菲菲（1991-）女，河南安阳人，研究生，从事智能交通方面理论和应用方面的研究。 Email:1271287522@qq.com
作者简介:曹洁（1966-）女，安徽灵璧人，教授，博士生导师，从事信息监测与估计、智能信息处理、机器视觉信息获取与处理、智能交通系统和计算机控制技术方面的研究。 Email: caoj@lut.cn
基金资助:
Supported by Scientific Research Projects in Gansu Province(甘肃省高校科研项目,2015B-031), Science and Technology Planning Project of Baiyin(白银市科技计划项目2015-2-33R)

Millimeter wave radar ranging algorithm based on cross-correlation function

1 School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China; 2 Gansu Manufacturing Informatization Engineering Research Center, Lanzhou 730050, China; 3 College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

Received:2017-01-16 Revised:2017-02-16 Published:2018-03-28 Online:2018-03-30

摘要/Abstract

摘要： 经典的线性调频连续波（LFMCW）雷达测距方法用快速傅里叶变换（FFT）进行数据处理，采样点增多时计算量显著增长,使测距系统实时性不理想。为解决此问题引入了互相关函数测距方法，利用LFMCW雷达信号频率成三角形变化且回波延时小于一个周期的特点，进行一个周期内的相关运算就能测出距离值。结合互相关函数测距法测得的值，对采样信息的部分采样点进行FFT变换，可以快速高效地测出更精准的距离信息。MATLAB仿真实验表明结合互相关函数的测距方法测距误差平均减小1.434 m，平均运算时间减少了0.5 s，提高了测距系统的实时性、精确性。

关键词: 线性调频连续波雷达测距；快速傅里叶变换；互相关函数；实时性

Abstract: The classical linear frequency modulation continuous wave(LFMCW) radar ranging method adopts FFT transform to carried out signal processing. Calculation amount increases significantly with the sampling point increasing, which makes the real-time of ranging system not so ideal. To solve this problem, the cross-correlation function ranging method is introduced. Using the characteristics that LFMCW radar signal frequency change is triangular and the echo delay is less than one cycle, the distance can be measured with only one cycle of cross-correlation operation. Combined with the measured value of the cross-correlation function ranging method, FFT transform is used for the partial sampling points of sampling information, and more accurate distance information can be measured quickly and efficiently. The simulation results of MATLAB show that the average ranging measurement error combing with cross-correlation function is reduced by 1.434 m and the average operation time is reduced by 0.5 s, which improves the real-time performance and accuracy of the ranging system.

Key words: linear frequency modulation continuous wave radar ranging；fast Fourier transform； cross-correlation function；real-time performance

中图分类号:

TN928

曹洁祝菲菲. 基于互相关函数的毫米波雷达测距算法研究[J]. J4, 2018, 35(2): 216-224.

CAO Jie, ZHU Feifei . Millimeter wave radar ranging algorithm based on cross-correlation function [J]. J4, 2018, 35(2): 216-224.

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