IMM

作品数：417被引量：948H指数：12
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相关领域：电子电信自动化与计算机技术更多>>
相关作者：陈乃宏吴盘龙王国宏梁彦潘泉更多>>
相关机构：西北工业大学空军工程大学南京理工大学西安电子科技大学更多>>
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相关基金：国家自然科学基金中国航空科学基金国家高技术研究发展计划国家教育部博士点基金更多>>
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Maneuvering target state estimation based on separate model-ing of target trajectory shape and dynamic characteristics被引量：2
《Journal of Systems Engineering and Electronics》2022年第5期1195-1209,共15页ZHANG Zhuanhua ZHOU Gongjian 
supported by the National Natural Science Foundation of China(61671181).
The state estimation of a maneuvering target,of which the trajectory shape is independent on dynamic characteristics,is studied.The conventional motion models in Cartesian coordinates imply that the trajectory of a ta...
关键词：maneuvering target tracking separate modeling natural parametric function interacting multiple model(IMM)filter data fitting state augmentation 
Improved IMM algorithm based on support vector regression for UAV tracking被引量：3
《Journal of Systems Engineering and Electronics》2022年第4期867-876,共10页ZENG Yuan LU Wenbin YU Bo TAO Shifei ZHOU Haosu CHEN Yu 
supported by the Foundation of Key Laboratory of Near-Surface。
With the development of technology, the relevant performance of unmanned aerial vehicles(UAVs) has been greatly improved, and various highly maneuverable UAVs have been developed, which puts forward higher requirement...
关键词：interacting multiple model(IMM)filter constant acceleration(CA) unmanned aerial vehicle(UAV) support vector regression(SVR) 
Modeling of UAV path planning based on IMM under POMDP framework被引量：4
《Journal of Systems Engineering and Electronics》2019年第3期545-554,共10页YANG Qiming ZHANG Jiandong SHI Guoqing 
supported by the Aeronautical Science Foundation of China(20135153031; 20135553035; 2017ZC53033)
In order to enhance the capability of tracking targets autonomously of unmanned aerial vehicle (UAV), the partially observable Markov decision process (POMDP) model for UAV path planning is established based on the PO...
关键词：PARTIALLY OBSERVABLE MARKOV decision process (POMDP) interactive multiple model (IMM) filtering path planning target tracking state transfer law 
Modified switched IMM estimator based on autoregressive extended Viterbi method for maneuvering target tracking被引量：3
《Journal of Systems Engineering and Electronics》2018年第6期1142-1157,共16页HADAEGH Mahmoudreza KHALOOZADEH Hamid 
In this paper, a new approach of maneuvering target tracking algorithm based on the autoregressive extended Viterbi(AREV) model is proposed. In contrast to weakness of traditional constant velocity(CV) and constant ac...
关键词：interacting multiple model(IMM) filter constant acceleration(CA) autoregressive(AR) extended Viterbi(EV) autoregressive extended Viterbi(AREV) extended Kalman filter(EKF) 
Tracking a maneuvering target in clutter with out-of-sequence measurements for airborne radar被引量：3
《Journal of Systems Engineering and Electronics》2015年第4期746-753,共8页Weihua Wu Jing Jiang Yang Wan 
supported by the National Natural Science Foundation of China(61102168)
There are many proposed optimal or suboptimal al- gorithms to update out-of-sequence measurement（s） （OoSM（s）） for linear-Gaussian systems, but few algorithms are dedicated to track a maneuvering target in clutte...
关键词：out-of-sequence measurement（s） （OoSM（s）） Earth-centered Earth-fixed （ECEF） interacting multiple model （IMM） probabilistic data association （PDA） attitude. 
Novel sensor selection strategy for LPI based on an improved IMMPF tracking method被引量：5
《Journal of Systems Engineering and Electronics》2014年第6期1004-1010,共7页Zhenkai Zhang Jiehao Zhu Yubo Tian Hailin Li 
supported by the Fundamental Research Funds for the Central Universities(NJ20140010);the Scientific Research Start-up Funding from Jiangsu University of Science and Technology;the Scienceand Technology on Electronic Information Control Laboratory Project;the Priority Academic Program Development of Jiangsu Higher Education Institutions
Sensor platforms with active sensing equipment such as radar may betray their existence, by emitting energy that will be intercepted by enemy surveillance sensors. The radar with less emission has more excellent perfo...
关键词：sensor selection low probability of intercept（LPI） interacting multiple model（IMM） particle filter target tracking 
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