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浏览/检索结果: 共9条，第1-9条 帮助 限定条件 专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A Vehicular Positioning Enhancement with Connected Vehicle Assistance Using Extended Kalman Filtering 期刊论文 Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2018, 卷号: 211, 页码: 597-608 作者:  Tian, D.;  Liu, W.;  Duan, X.;  Rong, H.;  Guo, P. 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/30 5G mobile communication systems  Data fusion  Dedicated short range communications  Extended Kalman filters  Global positioning system  Vehicle to vehicle communications  Vehicles  Wireless networks  Doppler frequency shift  Extended Kalman filtering  Imm-ekf  Interacting multiple model filter (IMM)  Observation model  Positioning enhancements  Radio signals  Target vehicles  Kalman filters   An Interacting Multiple Model based Aircraft Trajectory Conformance Prediction Method 会议论文 2018 IEEE/AIAA 37TH DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), 2018-01-01 作者:  Wang, Zhuojia;  Zhang, Xuejun;  Cai, Kaiquan 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 IMM  trajectory conformance  prediction   A DDF-based IMM-TFS Approach for the Accuracy Evaluation Problem of Rapid Transfer Alignment 期刊论文 JOURNAL OF NAVIGATION, 2018, 卷号: 71, 页码: 749-768 作者:  Zhou, Dapeng;  Guo, Lei 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 Rapid transfer alignment  Accuracy evaluation  Divided difference Filter (DDF)  Interacting Multiple Model Two-Filter Smoother (IMM-TFS)   Distributed estimation for stochastic hybrid systems with event-triggered sensor schedule 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 页码: 173-181 作者:  Zhang, Cui;  Jia, Yingmin 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/30 stochastic systems  closed loop systems  Monte Carlo methods  least mean squares methods  sensors  manoeuvring target tracking  Monte Carlo simulations  linear minimum mean square error  sensor measurements  closed-loop schedule rule  event-triggered state estimator  IMM approach  interacting multiple model  event-triggered sensor schedule  stochastic hybrid systems   Kullback-Leibler divergence for interacting multiple model estimation with random matrices 期刊论文 IET SIGNAL PROCESSING, 2016, 卷号: 10, 页码: 12-18 作者:  Li, Wenling;  Jia, Yingmin 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 state estimation  filtering theory  random processes  covariance matrices  Markov processes  measurement errors  statistical distributions  inverse problems  minimisation  method of moments  linear systems  interacting multiple model estimation  random matrix  IMM  jump Markov linear system  unknown measurement noise covariance  system state estimation  weighted inverse-Wishart distribution  weighted Kullback-Leibler divergence minimisation  optimisation problem  moment matching approac   Stereo Vision Pose Estimation for Moving Objects by the Interacting Multiple Model Method 会议论文 Chinese Intelligent Systems Conference (CISC), Yangzhou, PEOPLES R CHINA, 2016-01-01 作者:  Peng, Ying;  Sun, Shihao;  Jia, Yingmin;  Chen, Changqing 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 6DOF  Pose estimation  IMM  Kalman filter   An Efficient Algorithm Unifying MHT and Multiple Model Approaches 会议论文 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015-01-01 作者:  Liu, Weihua;  Zhao, Yongjia;  Lei, Xiaoyong 收藏  |  浏览/下载：4/0  |  提交时间：2020/01/06 Multiple Hypothesis Tracking (MHT)  Interacting Multiple Model (IMM)  Multiple Model (MM)  Multiple Target Tracking   Turn Rate Estimation Based Adaptive IMM Algorithm for Maneuvering Target Tracking 会议论文 International Conference on Manufacturing Science and Technology (ICMST 2011), Singapore, SINGAPORE, 2012-01-01 作者:  Tian Ye;  Jiang Hong;  Ding Quanxin;  Liang Guowei 收藏  |  浏览/下载：1/0  |  提交时间：2020/01/06 maneuvering target tracking  adaptive interacting multiple-model (AIMM)  kalman filtering  turn rate estimation  coefficient of variance (CV)   Location of Mobile Station With Maneuvers Using an IMM-Based Cubature Kalman Filter 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2012, 卷号: 59, 页码: 4338-4348 作者:  Li, Wenling;  Jia, Yingmin 收藏  |  浏览/下载：1/0  |  提交时间：2020/01/06 Cubature Kalman filter (CKF)  interacting multiple model (IMM)  jump Markov system  mobile location estimation