Citation: | Liu Yanan, Liu Xuecai, Wang Jian, Lin Fajun. Adaptive prediction of maximum usable frequency in high-frequency communication[J]. Chinese Journal of Space Science, 2013, 33(3): 286-292. doi: 10.11728/cjss2013.03.286 |
[1] |
International Telecommunications Union. HF propagation prediction method[P], Recommendation ITU-R 533-8. 2005
|
[2] |
Huang Deyao. Quasi-real-time forecast method of the shortwave circuit MUF[J]. J. China Instit. Comm., 1991, 12(6):103-105. In Chinese (黄德耀. 短波电路最高可 用频率准实时预报方法[J]. 通信学报, 1991, 12(6):103-105)
|
[3] |
Gao Qing. A quasi-real-time prediction technique for HF communication[J]. J. China Instit. Comm., 1987, 8(3):79-82. In Chinese (高清. 短波电路中 的准实时预报技术[J]. 通信学报, 1987, 8(3):79-82)
|
[4] |
Si Jiacai. P-D transfer with tilted ionosphere and prediction of MUF[J]. Chin. J. Space Sci., 1995, 15(1):53-58. In Chinese (司家才. 计及电离层倾斜的P-D变 换及其短波通信MUF的预报方法[J]. 空间科学学报, 1995, 15(1):53-58)
|
[5] |
Xu Bin, Wu Yonghong, Liu Yimin. Maximum usable frequency adaptive prediction[J]. Chin. J. Radio Sci., 2011, 26(4):699-703. In Chinese (徐彬, 吴永宏, 刘毅敏. 最高可用频率自适应预报[J]. 空间科学学报, 2011, 26(4):699-703)
|
[6] |
Li Guangjun, Liu Huiwen. Short-term frequency forecast for shortwave communication[J]. Milit. Comm. Tech.}, 1988, 28(4):68-71. In Chinese (李广军, 刘会文. 短波通信中的短期频率预报方法[J]. 军事通信技术, 1988, 28(4):68-71)
|
[7] |
Zhao Zhian. A prediction method of MUF and models for radio short wave[J]. J. China Instit. Comm., 1987, 8(3):54-60. In Chinese (赵志安. 短波通信MUF和传播模式的预报方法[J]. 通信学报, 1987, 8(3):54-60)
|
[8] |
Wang Jian, Fu Wei. Prediction of maximum usable frequency in shortwave communication base on chaos theory[J]. Chin. J. Radio Sci., 2007, 22(Supp.):442-445. In Chinese (王健, 付炜. 基于混沌理论的短波通信最高可用频率预测[J]. 电波科学学报, 2007, 22(增刊):442-445)
|
[9] |
Narendra K S, Parthasarathy K. Identification and control of dynamical systems using neural networks[J]. IEEE Trans. Neural Networks, 1990, 1(1):4-27
|
[10] |
Haykin S, Li L. Nonlinear adaptive prediction of non-stationary signals[J]. IEEE Trans. Sign. Proc., 1995, 43(2):526-535
|
[11] |
Roy E, Srewart R W, Durrani T S. Higher-order system identification with an adaptive recursive second-order polynomial filter[J]. IEEE Sign. Proc. Lett., 1996, 3(10): 276-279
|
[12] |
Han Min. Prediction Theory and Method of Chaotic Time Series[M]. Beijing: China Water Power Press, 2007. 168-185. In Chinese (韩敏. 混沌时间序列预测理论与方法[M]. 北京: 中国水利水电出版社, 2007. 168-185)
|
[13] |
Zhang Jiashu, Xiao Xianci. Predicting low-dimensional chaotic time series using Volterra adaptive filters[J]. Acta Phys. Sin., 2000, 49(3):403-408. In Chinese (张家树, 肖先赐. 混沌时间序列的Volterra自适应预测[J]. 物理学报, 2000, 49(3):403-408)
|
[14] |
Liang Cunfeng. Flood forecast based on the chaotic volterra adaptive model[J]. J. Water Res. Water Eng., 2011, 22(1):146-150. In Chinese (梁存峰. 基于混沌Vo-lte-rra自适应模型的洪水预测研究[J]. 水资源与水工程学报, 2011, 22(1):146-150)
|
[15] |
Packard N H, Crutchfield J P, Farmer J D, et al. Geometry from a time series[J]. Phys. Rev. Lett., 1980, 45(9):712-716.
|
[16] |
Takens F. Determing strange attractors in turbulence[C]//Dynamical Systems and Turbulence, Lecture Notes in Mathematics. Berlin: Springer- Verlag, 1981, 898:361-381
|
[17] |
Kugiumtzis D. State space reconstruction parameters in the analysis of chaotic time series - the role of the time window length[J]. Physica: D, 1996, 95(1):13-28
|
[18] |
Lü Jinhu, Lu Junan, Chen Shihua. Analysis and Application of Chaos Time Series[M]. Wuhan: Wuhan University Press, 2002. In Chinese (吕金虎, 陆君安, 陈士华. 混沌时间序列分析及其应用[M]. 武汉: 武汉大学出版社, 2002)
|
[19] |
Chen Keng, Han Botang. A survey of state space reconstruction of chaotic time series analysis[J]. Comput. Sci., 2005, 32(4):67-70. In Chinese (陈铿, 韩伯堂. 混沌时间序列中相空间重构技术综述[J]. 计算机科学, 2005, 32(4):67-70)
|
[20] |
Meng Qingfang. Prediction Methods and Application of Chaos Time Series[D]. Jinan: Shandong University, 2005. In Chinese (孟庆芳. 混沌时间序列预测方法 及其应用[D]. 济南: 山东大学, 2005)
|
[21] |
Fraser A M, Swinney H L. Independent coordinates for strange attractor from mutual information[J]. Phys. Rev. A, 1981, 33(2):1134-1140
|
[22] |
Resenstein M T, Collins J J, De L J C, et al. Reconstruction expansion as a geometry-based framework for choosing proper delay times[J]. Physica: D, 1994, 73(1/2):82-89
|
[23] |
Kennel M B, Brown R, Abarbanel H D, et al. Determining embedding dimension for phase space reconstruction using a geometrical construction[J]. Phys. Rev: A, 1992, 45(6):3403-3411
|
[24] |
Cao Liangyue. Practical method for determining the minimum embedding dimension of a scalar time series[J]. Physica: D, 1997, 110(1/2):43-50
|
[25] |
Kim H S, Eykholt R, Salas J D. Nonlinear dynamics, delay times and embedding windows[J]. Physica: D, 1999, 127(1/2):48-60
|
[26] |
Grassberg P, Procaccia I. Characterization of strange attractors[J]. Phys. Rev. Lett., 1983, 189:45-51
|
[27] |
Liu Yuhua. The Study of Noise Smoothing Methods on Chaotic Time Series[D]. Dalian: Dalian University of Technology, 2005. In Chinese (刘玉花. 混沌时间序列的噪声平滑 方法研究[D]. 大连: 大连理工大学, 2005)
|
[28] |
Jiang Xiangchao, Zheng Junli. Analysis of algorithms and error evaluation criteria in chaotic neural network predictions[J]. J. Tsinghua Univ. (Sci. Tech.), 2001, 41(7):43-46. In Chinese (简相超, 郑君里. 混沌神经网 络预测算法评价准则与性能分析[J]. 清华大学学报(自然科学版), 2001, 41(7):43-46)
|
[29] |
Chen J L, Islam S, Pratim B. Nonlinear dynamics of hourly ozone concentrations: nonparametric short term prediction[J]. Atmos. Envir., 1998, 32(11):1839-1848
|
[30] |
Wang Jian, Fu Wei, Feng Xiaozhe, et al. Technique on high-frequency single-site location in short distance[J]. Electron. Inf. Warfare Tech., 2009, 24(1):25-28. In Chinese (王健, 付炜, 冯晓哲, 等. 近距离高频单站定位技术[J]. 电子信息 对抗技术, 2009, 24(1):25-28)
|
[31] |
Wang Jian, Hui Shouqiang, Fu Wei, et al. Error characteristic analysis and accuracy optimizing idea of HF single site location[J]. Chin. J. Radio Sci., 2010, 25(5):925-933. In Chinese (王健, 惠守强, 付炜, 等. 高频单站 定位误差特性分析及精度优化构想[J]. 电波科学学报, 2010, 25(5):925-933)
|