摘要
分布式穿墙成像雷达利用多个穿墙雷达节点在多个视角对室内目标协同探测,可以有效弥补传统单视角穿墙探测的不足。提出了一种基于高斯混合模型的分布式穿墙成像雷达空间配准方法,根据各个节点探测结果中多目标位置关系求解雷达节点位置。首先将各个雷达节点的量测点集建模为高斯混合模型;然后将雷达节点配准问题转化为求解最优坐标变换参数的优化问题;最后采用粒子群优化求解,实现雷达节点空间配准。仿真与实测结果验证了该方法的有效性。
Distributed through-the-wall imaging radar(DTWIR)deploys multiple through-the-wall radar nodes in multiple viewpoints for cooperative detection of indoor targets,which can effectively compensate for the shortage of traditional single-view through-the-wall target detection.In this paper,a registration algorithm for DTWIR is proposed,which calculates the positions of the radar nodes based on their detection results.Firstly,the measurements of each radar node are modeled as Gaussian mixture model.Then an optimization problem which solves the optimal coordinate transformation parameters is formulated for radar registration.Finally,the optimization problem is solved via the particle swarm optimization method.The proposed algorithm is validated by simulation and experimental results.
作者
李虎泉
郭世盛
陈家辉
崔国龙
孔令讲
LI Huquan;GUO Shisheng;CHEN Jiahui;CUI Guolong;KONG Lingjiang(School of Information and Communication Engineering,University of Electronic Science and Technology of China Chengdu 611731)
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2023年第1期30-37,共8页
Journal of University of Electronic Science and Technology of China
基金
国家自然科学基金面上(61871080)
国家自然科学基金青年基金(62001091)。
关键词
分布式穿墙成像雷达
高斯混合模型
图像矩
粒子群优化
雷达节点配准
distributed through-the-wall imaging radar
Gaussian mixture model
image moment
particle swarm optimization
radar registration
