基于修正粒子群算法连续波生物雷达静止简单目标二维成像研究  

Research on Continuous Wave Bio-Radar Two-Dimensional Imaging of Stationary Simple Target Based on Modified Particle Swarm Optimization Algorithm

作　　者：周永军[1] 张辉[1] 牛函娟[2] 张小娣[1] ZHOU Yongjun;ZHANG Hui;NIU Hanjuan;ZHANG Xiaodi(School of Physic and Electronic Engineering,Xianyang Normal University,Xianyang 712000,Shaanxi,China;Training College,Xianyang Normal University,Xianyang 712000,Shaanxi,China)

机构地区：[1]咸阳师范学院物理与电子工程学院,陕西咸阳712000 [2]咸阳师范学院培训学院,陕西咸阳712000

出　　处：《咸阳师范学院学报》2019年第2期64-66,共3页Journal of Xianyang Normal University

基　　金：陕西省科技研究发展计划项目(2016JM6053);陕西省教育厅科研计划项目(18JK0831);咸阳师范学院科研基金项目(14XSYK009);咸阳师范学院教改项目(201402010);咸阳师范学院大学生创新创业训练计划项目(2017079);陕西省大学生创新创业训练计划项目(2510)

摘　　要：通过搭建连续波生物雷达平台对障碍物后的简单目标进行探测,在汲取了粒子群算法优点的基础上,基于回波信号并依据MPSO算法对探测目标进行了静态二维重构,结果表明:在一定迭代次数内,依据MPSO算法能实现对探测区域目标进行较为准确的重构,且迭代次数越多,重构效果越好。A continuous wave bio-radar platform was built to detect the simple target behind the obstacle.Then,based on the advantages of the particle swarm optimization algorithm,the static two-dimensional reconstruction of the detection target was performed based on the echo signal and the MPSO algorithm.It is shown that within a certain number of iterations,the MPSO algorithm can achieve more accurate reconstruction of the target of the detection area,and the more the number of iterations,the better the reconstruction effect.

关 键 词：修正粒子群算法 连续波生物雷达 静止简单目标 二维成像 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]