The Cao method for determining the minimum embedding dimension of sea clutter

被引:0
|
作者
Xu, Xiaoke [1 ]
Liu, Xiaoming [1 ]
Chen, Xiaonan [1 ]
机构
[1] Dalian Maritime Univ, Informat Technol Coll, Dalian 116026, Peoples R China
来源
PROCEEDINGS OF 2006 CIE INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2 | 2006年
关键词
chaos; embedding dimension; radar signal processing; sea clutter;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To verify whether sea clutter has chaotic character or not, the minimum embedding dimension and time delay in phase space reconstruction are needed. This paper discusses two defects of False Nearest Neighbors (FNN) for calculating embedding dimension: noise sensitivity and effect of subjective parameter. It was confirmed that Cao method could overcome these limitations and settle on a suitable embedding dimension of time series and distinguish deterministic signals and stochastic signals clearly. It is concluded that sea clutter is composed of stochastic component and determined component together.
引用
收藏
页码:77 / +
页数:2
相关论文
共 44 条
  • [1] Determining the minimum embedding dimension of nonlinear time series based on prediction method
    Bian, CH
    Ning, XB
    CHINESE PHYSICS, 2004, 13 (05): : 633 - 636
  • [2] Neural network method for determining embedding dimension of a time series
    Maus, A.
    Sprott, J. C.
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2011, 16 (08) : 3294 - 3302
  • [3] MODEL BASED METHOD FOR DETERMINING THE MINIMUM EMBEDDING DIMENSION FROM SOLAR ACTIVITY CHAOTIC TIME SERIES
    Mirmomeni, M.
    Lucas, C.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2008, 21 (01): : 31 - 44
  • [4] A new method of determining the optimal embedding dimension based on nonlinear prediction
    Meng Qing-Fang
    Peng Yu-Hua
    Xue Pei-Jun
    CHINESE PHYSICS, 2007, 16 (05): : 1252 - 1257
  • [5] Determining Minimum Embedding Dimension in Short Time Series using Precisely Averaged False-nearest-neighbors Approach
    Zhao, Li
    Fang, Nian
    Wang, Lutang
    Wang, Ying
    Huang, Zhaoming
    2008 CHINA-JAPAN JOINT MICROWAVE CONFERENCE (CJMW 2008), VOLS 1 AND 2, 2008, : 509 - +
  • [6] A New Method for Determining the Embedding Dimension of Financial Time Series Based on Manhattan Distance and Recurrence Quantification Analysis
    Zhu, Hanhuai
    Huang, Jingjing
    ENTROPY, 2022, 24 (09)
  • [7] Reliable Estimation of Minimum Embedding Dimension Through Statistical Analysis of Nearest Neighbors
    Chelidze, David
    JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2017, 12 (05):
  • [8] A DECONVOLUTION METHOD FOR SHIP DETECTION IN SEA CLUTTER ENVIRONMENT
    Wang, Yue
    Zha, Yuebo
    Huang, Yulin
    Zhang, Yin
    Yang, Jianyu
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 1590 - 1593
  • [9] Multiplicative Multifractal Modeling Method for HF Sea Clutter
    Sheng, Wen
    Zhang, Xiaohua
    Ren, Ji
    MIPPR 2011: PATTERN RECOGNITION AND COMPUTER VISION, 2011, 8004
  • [10] A method of weak target detection based on the sea clutter
    Xing Hong-Yan
    Zhu Qing-Qing
    Xu Wei
    ACTA PHYSICA SINICA, 2014, 63 (10)