摘要
利用超宽带穿墙雷达探测跟踪墙后人体目标在城区巷战、反恐斗争和人质救援等领域的应用日益广泛。动目标检测与成像算法是穿墙雷达信号处理的两大关键部分,针对传统的动目标检测方法的不足,本文研究了一种提取动目标回波信息的自适应背景去除方法,并考虑到墙体影响,对传统的后向投影成像算法进行改进。利用FDTD数值仿真和外场实验验证了对隐藏在墙后运动目标跟踪成像,研究结果表明,本文算法对天线形式要求简单,准确度高,实时性好。
Detection and tracking of human targets behind walls with Ultra Wideband Through-Wall Radar(UWB TWR) have important application value in urban area operations,counter-terrorism and search-and-rescue missions. TWR signal processing consists of two key parts-moving target detection(MTD) and imaging algorithm.An adaptive background subtraction method for extracting the information of moving targets is presented in this paper,which outperforms conventional MTD techniques.Then an improved BP algorithm is also introduced,which considers the presence of walls.FDTD numerical simulations and experimental results validate that the proposed algorithm can be used to track and image moving targets behind walls.The results also show that the proposed algorithm has the characteristics of simple antenna array requirement,high position accuracy and real time imaging.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2010年第3期500-506,共7页
Chinese Journal of Scientific Instrument
基金
国家高技术研究发展计划(863计划2007AA12Z124)
博士后基金(20090450571)资助
关键词
超宽带雷达
动目标检测
穿墙成像
后向投影
ultra wideband(UWB) radar
moving target detection(MTD)
through-wall imaging
back-projection(BP)