摘要
穿墙雷达成像受墙体参数影响较大,面对未知墙体,传统成像算法都是对其参数进行粗略估计,导致墙后目标成像质量下降、定位失准。通过分析墙后目标回波,在后向投影(BP)成像算法基础上,提出了一种有效、多层次的墙体参数预估算法。该算法首先使用“目标位置曲线相交法”迅速缩小被估参数范围,然后通过“图像熵”衡量指标进一步确定具体参数值,整个过程对收发天线配置做了合理安排,提高了参数预估效率和预估精度。仿真结果表明:该算法能够在对墙后单目标成像的基础上,实现墙体参数的准确预估。
The imaging of through-the-wall radar is greatly influenced by wall parameters.Facing the unknown wall,traditional imaging algorithm is a rough estimation of its parameters,which leads to the decrease of the target after the wall imaging quality and the inaccurate positioning.Based on back projection(BP)algorithm,an effective and multi-level prediction algorithm for wall parameters is proposed by analyzing the backwall echo.The algorithm shrinks rapidly range of estimated parameters by firstly using“target location curve intersection method”,and then through the image entropy measurement indicator further determines the specific parameter values.The whole process makes reasonable arrangement for the configuration of the transceiver antenna,and improve the efficiency and precision of parameter estimation.The simulation results show that this algorithm can realize the accurate prediction of wall parameters on the basis of single target behind the wall imaging.
作者
赵锐
梁步阁
杨德贵
朱政亮
李刚
刘锦
ZHAO Rui;LIANG Buge;YANG Degui;ZHU Zhengliang;LI Gang;LIU Jin(School of Aeronautics and Astronautics,Central South University,Changsha 410083,China)
出处
《传感器与微系统》
CSCD
2020年第5期133-136,共4页
Transducer and Microsystem Technologies
基金
国家重点研发计划资助项目(2018YFC0810204)。
关键词
后向投影(BP)成像
穿墙雷达
墙体参数预估
图像熵
back projection(BP)imaging
through-the-wall radar
wall parameters estimation
image entropy
