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.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
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
关键词
毫米波雷达
功率谱识别
雷达信号处理
车流量检测
millimeter wave radar
power spectrum recognition
radar signal processing
traffic flow detection
