一种应用于毫米波车流量检测雷达的背景功率谱识别方法  

METHOD OF RECOGNIZING BACKGROUND POWER SPECTRUM USED IN MILLIMETER WAVE TRAFFIC FLOW DETECTION RADAR

作　　者：张浩[1,2] 薛伟[1,2] 余稳[1] 孙晓玮[1] 

机构地区：[1]中国科学院上海微系统与信息技术研究所,上海200050 [2]中国科学院研究生院,北京100039

出　　处：《红外与毫米波学报》2008年第6期437-441,共5页Journal of Infrared and Millimeter Waves

基　　金：上海市信息化专项基金(123)资助项目

摘　　要：背景功率谱的准确识别是确保毫米波车流量检测雷达测量精度的首要问题.本文研究了毫米波交通雷达的工作原理和回波功率性质,并提出了一种新颖实用的背景功率谱识别算法,该算法基于相干平均和有序统计量.文中给出了不同实验环境下的测试结果,结果证明了算法的有效性,背景功率谱的识别精度有了明显提高.In application of the side-looking millimeter wave radar to monitor traffic flow, the key issue is to recognize background power spectrum. In this study, the traffic radar principles and echo power properties were analyzed. Then, a novel background power spectrum recognition （BPSR） algorithm was proposed which was based on order statistics and coherent averaging. Finally, test results in various environments were presented. Quantitative evaluation and comparison indicate that the algorithm is feasible and the detection performance has been noticeably improved.

关 键 词：毫米波雷达 功率谱识别 雷达信号处理 车流量检测 

分 类 号：TN911.23[电子电信—通信与信息系统]