基于算术平均融合的分布式多伯努利扩展目标跟踪  

Distributed Multi-Bernoulli Extended Targets Tracking Based on Arithmetic Average Fusion

作　　者：吴孙勇[1,2] 郑翔飞 李天成 胡青霜 吕晓燕 WU Sunyong;ZHENG Xiangfei;LI Tiancheng;HU Qingshuang;LÜXiaoyan(Mathematics and Computer Science College of Guilin University of Electronic Technology,Guilin 541004,China;Guangxi Key Laboratory of Cryptography and Information Security,Guilin 541004,China;School of Automation,Northwestern Polytechnical University,Xi’an 710071,China)

机构地区：[1]桂林电子科技大学数学与计算科学学院,桂林541004 [2]广西密码学与信息安全重点实验室,桂林541004 [3]西北工业大学自动化学院,西安710071

出　　处：《电子与信息学报》2023年第6期2171-2179,共9页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(62263007,62061010,62161007,62071389);中央引导地方科技发展资金项目(2022YZX2001);广西科技厅项目(AA19182007);广西密码学与信息安全重点实验室研究课题(GCIS202132);桂林电子科技大学数学与计算科学学院研究生创新项目(2022YJSCX02);桂林电子科技大学研究生教育创新计划(2022YCXS145)。

摘　　要：在分布式传感网络中,由于同一扩展目标的方位角以及轴长等状态参数在不同传感器下估计结果不一致,因此多扩展目标估计关联困难,从而为后续密度信息融合带来了巨大挑战。相比于点目标后验密度信息,扩展目标后验密度同时包含了质心状态和外形信息。该文结合质心欧氏距离和外形矩阵非欧氏尺寸-形状度量提出了椭圆距离(ED),该椭圆距离同时考虑了扩展目标质心状态与外形信息,更好地实现了不同传感器下同一扩展目标后验密度关联。此外该文在算术平均(AA)融合规则下推导了融合空间密度的近似伽马高斯逆威沙特(GGIW)分布,实现了不同传感器下同一扩展目标后验信息AA融合。仿真实验表明,该文所提算法在分布式传感网络中能有效地进行多扩展目标跟踪。In distributed sensor networks,the inconsistent estimation results of state parameters such as azimuth and axis lengths of the same extended target under different sensors lead to the difficulty of extended target estimation association,which gives rise to challenges to the subsequent density information fusion.Compared with the point target posterior density information,the extended target posterior density contains both centroid state and shape information.Moreover,the Ellipse Distance(ED)is proposed based on the Euclidean distance of centroid and non-Euclidean size-shape metric of shape matrix.The ellipse distance considers both the centroid state and shape information of the extended target,and better realizes the posterior density correlation of the same extended target under different sensors.In addition,in this paper,the approximate Gamma Gaussian Inverse Wishart(GGIW)distribution of fusion space density is derived under the Arithmetic Average(AA)fusion rule,and the AA fusion of posterior information of the same extended target under different sensors is realized.Simulation results show that the proposed algorithm can effectively track multiple extended targets in distributed sensor networks.

关 键 词：分布式网络 扩展目标 椭圆距离 算术平均 伽马高斯逆威沙特 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]