摘要
超宽带雷达用于人体探测,在大规模城区巷战、反恐斗争和灾害救援等方面有着广阔的应用前景.传统的超宽带成像算法在识别能力及计算效率上已不能满足要求.本文针对运动人体目标场景建立系统模型,将人体运动等效为天线移动扫描,基于快速SEABED成像算法提出一种用于超宽带雷达的动目标跟踪成像算法.仿真与实验结果验证了算法的有效性和可行性,该算法对系统硬件要求低,实时性好,准确度高,能完成对运动目标速度估计及运动轨迹跟踪,并对目标边界成像.
The Ultra WideBand(UWB) Radar is a promising candidate for detecting human bodies in many fields such as urban-warfare,counter-terrorism and calamity rescue scenarios.Conventional UWB imaging algorithm can not meet the demand in the capability of targets recognition and calculation efficiency.This paper proposed a novel algorithm based on high-speed SEABED algorithm for UWB radar systems in which walking motion was used to replace antenna scanning by assuming a system model.The effectiveness and feasibility of the algorithm is demonstrated via simulated and experimental results.It is shown that the proposed algorithm features simple hardware requirement,low calculation,and high imaging precision,and it can be used to estimate the velocity,image and track walking human bodies.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2011年第3期531-537,共7页
Acta Electronica Sinica
基金
国家863高技术研究发展计划(No.2007AA12Z124)
关键词
超宽带雷达
边界散射变换
SEABED算法
目标边界成像
动目标跟踪
ultra wideband(UWB) radar
boundary scattering transform(BST)
SEABED algorithm
target shape imaging
moving targets tracking