Optimization of multiple model neural tracking filter for marine targets

被引：24
|
作者：
Kazimierski, Witold [1 ]
Stateczny, Andrzej [1 ]
机构：
[1] Maritime Univ Szczecin, Chair Geoinformat, Fac Nav, Szczecin, Poland
来源：
2012 13TH INTERNATIONAL RADAR SYMPOSIUM (IRS) | 2012年
关键词：
radar tracking; marine radar; neural networks; GRNN;
D O I：
10.1109/IRS.2012.6233382
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The paper presents the research on optimizing multiple model neural filter with the use of Monte Carlo simulation. GRNN filters are used as elementary filters and different parameters of them are examined. The paper includes theoretical background of the research, analysis of a problem and a set of numerical experiments. The research was made with the use of Monte Carlo simulation. The results of the optimization can be used in further works with the filter and for final verification of the method.
引用
收藏
页码：543 / 548
页数：6
相关论文
共 50 条
  • [1] A multiple model multiple hypothesis filter for tracking maneuvering targets
    Driessen, H
    Boers, Y
    SIGNAL AND DATA PROCESSING OF SMALL TARGETS 2001, 2001, 4473 : 279 - 288
  • [2] Multiple Model CPHD Filter for Tracking Maneuvering Targets
    Sun, Jie
    Li, Dong
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 3238 - 3241
  • [3] Verification of marine multiple model neural tracking filter for the needs of shore radar stations
    Kazimierski, Witold
    Lubczonek, Jacek
    2012 13TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2012, : 554 - 559
  • [4] Target tracking for maneuvering targets using multiple model filter
    Kameda, H
    Matsuzaki, T
    Kosuge, Y
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2002, E85A (03): : 573 - 581
  • [5] Target tracking for maneuvering targets using multiple model filter
    Kameda, Hiroshi
    Matsuzaki, Takashi
    Kosuge, Yoshio
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2002, E85-A (03) : 573 - 581
  • [6] A multiple model probability hypothesis density filter for tracking maneuvering targets
    Punithakumar, K
    Kirubarajan, T
    Sinha, A
    SIGNAL AND DATA PROCESSING OF SMALL TARGETS 2004, 2004, 5428 : 113 - 121
  • [7] The SME Filter for Multiple Extended Targets Tracking
    Huang, Chengzhi
    Li, Cuiyun
    Ji, Hongbing
    2017 20TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2017, : 1863 - 1868
  • [8] Multiple-model probability hypothesis density filter for tracking maneuvering targets
    Punithakumar, K.
    Kirubarajan, T.
    Sinha, A.
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2008, 44 (01) : 87 - 98
  • [9] Joint Tracking and Classification of Multiple Targets with Scattering Center Model and CBMeMBer Filter
    Zhan, Ronghui
    Wang, Liping
    Zhang, Jun
    SENSORS, 2020, 20 (06)
  • [10] Software implementation of multiple model neural filter for radar target tracking
    Kazimierski, Witold
    Wawrzyniak, Natalia
    SCIENTIFIC JOURNALS OF THE MARITIME UNIVERSITY OF SZCZECIN-ZESZYTY NAUKOWE AKADEMII MORSKIEJ W SZCZECINIE, 2012, 32 (104): : 88 - 93
12345