同济大学学报（自然科学版）2017，Vol.45Issue(z1)：43-46,62,5.DOI:10.11908/j.issn.0253-374x.2017.s1.008
空间域中压缩感知在车载雷达目标定位中的应用
Target Location via Spatial Compressed Sensing in Automotive Radar
摘要
Abstract
One of the task of an automotive radar is to get the direction information which includes the range,speed,and azimuth of the target.There are some challenges in automotive radars such as the high sampling rate caused by the traditional Nyquist theorem,the so many snaps in the multiple signal classification (MUSIC) algorithm for targets' azimuth estimation,and the low resolution of speed and range.In order to solve these problems,a novel method based on compressed sensing (CS) in spatial domain is proposed in this paper.This paper presents the signal processing by MATLAB.The simulation results show that using the CS technique in automotive multiple-input multiple-output (MIMO) radar can reduce the sampling rate effectively,improve the resolution of range and speed without the use of a matching filter.Moreover,the CS technique needs less snaps than the MUSIC algorithm and achieves a better resolution,which has a promising prospect of automotive radar signal processing.关键词
目标定位/空间域/压缩感知/毫米波汽车雷达Key words
target location/spatial/compressed sensing/automotive millimeter wave radar分类
信息技术与安全科学引用本文复制引用
申亚飞,尹杨,白杰..空间域中压缩感知在车载雷达目标定位中的应用[J].同济大学学报（自然科学版）,2017,45(z1):43-46,62,5.基金项目
国家重点研究发展计划(2016YFB0100901) （2016YFB0100901）
