Ka及毫米波通信干扰技术研究
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摘要
本文重点针对采用Ka及毫米波频段的宽带、高速跳频通信系统,开展了相关对抗技术的研究。
本论文的主要研究成果及创新点是:
1.详细研究了各种气候条件下的Ka及毫米波电磁波传播特性,提出了利用蒸发波导实现Ka及毫米波超视距干扰的机理。
2.首次详细研究了部分驻留时间干扰对跳频及跳扩结合通信系统同步捕获及跟踪的影响,得出了部分驻留时间干扰即可对跳频及跳扩结合通信系统同步捕获及跟踪过程造成显著影响的结论。
3.在部分驻留时间干扰原理基础上,提出了更高跳速梳状谱干扰方法。该方法可以以较低的功率代价实现对跳频及跳扩结合通信系统的有效干扰。
4.在对常用跳频码混沌特性分析基础上,得出了常用跳频码具有混沌特性的结论,由此提出了可以运用混沌理论对跳频通信系统进行频率预测—引导干扰的思路。该方法可以在保证干扰效果的同时,显著降低干扰功率。
5.提出了基于关联度的跳频频率预测方法,该方法适用于跳频通信系统引导干扰中,较传统的基于欧氏距离意义下的最邻域混沌预测方法具有更高的预测精度。
6.在基于关联度的跳频频率预测方法基础上,提出了多步预测方法,可以进一步缩短预测时间。
7.详细分析了数据缺损条件下的基于关联度的跳频频率预测方法的性能,得出了数据缺损会对预测方法带来负面影响的结论。并提出了利用预测值代替缺损数据的解决措施。
This dissertation conducts correlative research on confrontation technology against the wide-band and high-speed FH communication systems using Ka & Millimeter Wave frequency.
This dissertation has made the following main research results and innovations:
1. The transmission features of Ka & Millimeter electromagnetic waves under all kinds of climate conditions have been detailed studied, and a mechanism of using evaporation duct to implement the Ka & Millimeter Wave interference over the horizon detection has been put forward.
2. The influence of part-time resident interference on the synchronic capture and tracking of FH and FH/DS communication systems has been detailed studied firstly and the conclusion of remarkable influence has been drawn.
3. Based on the theory of part-time resident interference, an interfering method of comb-shape spectrum with faster hopping speed has been put forward, which can achieve an effective interference against FH and FH/DS communication systems with lower power.
4. Based on analyzing the chaos feature of common FH codes, the conclusion that the common FH codes have chaos feature has been drawn. Therefore, an assumption to use the chaos theory to predict frequency of FH communication system to guide the interference has been suggested. This method can lower the interference power and ensure interference effectiveness.
5. A predicting method based on relevance degree has been proposed. This method is applicable to the guidance of interference with FH communication systems and is more accurate than the chaos predicting method of the nearest points in phase space based on the traditional Euclid distance.
6. According to the predicting method based on relevance degree, the method of multiple-step predicting has been put forward to shorten the predicting time.
7. The capability of the predicting method based on relevance degree in the condition of partial data absence has been analyzed in details, and the negative influence conclusion of data absence has been drawn. And a solution to replace the miss data with a predicted value has been suggested.
本论文的主要研究成果及创新点是:
1.详细研究了各种气候条件下的Ka及毫米波电磁波传播特性,提出了利用蒸发波导实现Ka及毫米波超视距干扰的机理。
2.首次详细研究了部分驻留时间干扰对跳频及跳扩结合通信系统同步捕获及跟踪的影响,得出了部分驻留时间干扰即可对跳频及跳扩结合通信系统同步捕获及跟踪过程造成显著影响的结论。
3.在部分驻留时间干扰原理基础上,提出了更高跳速梳状谱干扰方法。该方法可以以较低的功率代价实现对跳频及跳扩结合通信系统的有效干扰。
4.在对常用跳频码混沌特性分析基础上,得出了常用跳频码具有混沌特性的结论,由此提出了可以运用混沌理论对跳频通信系统进行频率预测—引导干扰的思路。该方法可以在保证干扰效果的同时,显著降低干扰功率。
5.提出了基于关联度的跳频频率预测方法,该方法适用于跳频通信系统引导干扰中,较传统的基于欧氏距离意义下的最邻域混沌预测方法具有更高的预测精度。
6.在基于关联度的跳频频率预测方法基础上,提出了多步预测方法,可以进一步缩短预测时间。
7.详细分析了数据缺损条件下的基于关联度的跳频频率预测方法的性能,得出了数据缺损会对预测方法带来负面影响的结论。并提出了利用预测值代替缺损数据的解决措施。
This dissertation conducts correlative research on confrontation technology against the wide-band and high-speed FH communication systems using Ka & Millimeter Wave frequency.
This dissertation has made the following main research results and innovations:
1. The transmission features of Ka & Millimeter electromagnetic waves under all kinds of climate conditions have been detailed studied, and a mechanism of using evaporation duct to implement the Ka & Millimeter Wave interference over the horizon detection has been put forward.
2. The influence of part-time resident interference on the synchronic capture and tracking of FH and FH/DS communication systems has been detailed studied firstly and the conclusion of remarkable influence has been drawn.
3. Based on the theory of part-time resident interference, an interfering method of comb-shape spectrum with faster hopping speed has been put forward, which can achieve an effective interference against FH and FH/DS communication systems with lower power.
4. Based on analyzing the chaos feature of common FH codes, the conclusion that the common FH codes have chaos feature has been drawn. Therefore, an assumption to use the chaos theory to predict frequency of FH communication system to guide the interference has been suggested. This method can lower the interference power and ensure interference effectiveness.
5. A predicting method based on relevance degree has been proposed. This method is applicable to the guidance of interference with FH communication systems and is more accurate than the chaos predicting method of the nearest points in phase space based on the traditional Euclid distance.
6. According to the predicting method based on relevance degree, the method of multiple-step predicting has been put forward to shorten the predicting time.
7. The capability of the predicting method based on relevance degree in the condition of partial data absence has been analyzed in details, and the negative influence conclusion of data absence has been drawn. And a solution to replace the miss data with a predicted value has been suggested.
引文
1-4 略
5 薛良金.毫米波工程基础.第1版.哈尔滨:哈尔滨工业大学出版社,2004
6 D.C施莱赫.信息时代的电子战.第1版.成都:信息产业部电子第二十九研究所电子对抗国防科技重点实验室,2000
7 何世彪,谭晓衡.扩频技术及其实现.第1版.北京:电子工业出版社,2007
8 梅文华,王淑波,邱永红,杜兴民.跳频通信.第1版.北京:国防工业出版社,2005
9 B.Sklar.Digital communication:fundamental and applications.Second edition.PRENTICE HALL PTR,2001
10 沈允春.扩谱技术.第1版.北京:国防工业出版社,1995
11 Richard A.Poisel.现代通信干扰原理与技术.第1版.北京:电子工业出版社,2005
12 曾兴雯,刘乃安,孙献璞.扩展频谱通信及其多址技术.第1版.西安:西安电子科技大学出版社,2004
13 查光明,熊贤祚.扩频通信.第1版.西安:西安电子科技大学出版社,2002
14 朱近康.扩展频谱通信及其应用.第1版.合肥:中国科技大学出版社,1993
15 郑继禹,林基明.同步理论与技术.第1版.北京:电子工业出版社,2003
16 李承恕,赵荣黎.扩展频谱通信.第1版.北京:人民邮电出版社,1993
17 R.L.Devaney.An Introduction to Chaotic Dynamical Systems.Second Edition.New York:Addison-Wesley,1989
18 程极泰.混沌的理论与应用.第1版.上海:上海科学技术文献出版社,1992
19 帕利斯,梅罗.动力系统几何理论引论.第1版.北京:科学出版社,1988
20 张筑生.微分动力系统原理.第1版.北京:科学出版社,1987
21 陈士华,陆君安.混沌动力学初步.第1版.武汉:武汉水利电力大学出版社,1998
22 张锁春.现代振荡反应的数学理论和数值方法.第1版.郑州:河南科学技术出版社,1991
23 魏宏森,宋永华等.开创复杂性研究的新学科-系统科学纵览.第1版.成都:四川教育出版社,1991
24 陈予恕.非线性动力学中现代分析方法.第1版.北京:科学出版社,1992
25 宋学锋.混沌经济学理论及其应用研究.第1版.徐州:中国矿业大学出版社,1996
26 梅文华,杨义先.跳频通信地址编码理论.第1版.北京:国防工业出版社,2003
27 张宗橙.纠错编码原理和应用.第1版.北京:电子工业出版社,2003
28 Roger L.Peterson,Rodger E.Ziemer,David E.Bortg.Introduction to Spread Spectrum Communications.第1版.北京:电子工业出版社,2006
29 金阵玉.信息论.第1版.北京:北京理工大学出版社,1991
30 洪时中,洪时明.分维测算中“无标度区”的客观制定与检验,分形理论及其应用.第1版.合肥:中国科技大学出版社,1993
31 W.A.Brock,D.A.Hsieh,B.LeBaron.Nonlinear dynamics,chaos,and instability:statistical theory and economic evidence.Cambridge,Mass:MIT Press.,1991
32 邓聚龙.灰色预测与决策.第1版.武汉:华中理工大学出版社,1992
33 W.L.Patterson,et al..Engineer's refractive effect prediction system(EREPS).NCCOSC NraD.San Diego,CA.Technology Report 2648.1994
34 H.G.Booker,W.Walkinshaw.The mode theory of tropospheric refraction and its relation to wave-guides and diffraction.Meteorological factors in radio-wave propagation.London.Page 80-127.1946
35 H.Jeske.The state of radar-range prediction over sea.Tropospheric Radio Wave Propagation,Part Ⅱ,NATO AGARD CP-70.Paper 50.1971
36 LI Weidong,WANG Jing,YAO yan.Synchronization design of frequencyhopping communication system.ICCT' 98.Bejing.1998
37 Marc Moeneclaey,Jiangzhou Wang.Interleaved coding and predetection diversity for hybrid DS/SFH-SSMA over indoor radio channels.Proceedings GLOBECOM 90.San Diego,CA.Page 266-270.1990
38 F.Takens.Detecting strange attractors in fluid turbulence.Dynamical Systems and Turbulence.Berlin.Page 366-381.1981
39-59 略
60 任丽娜,曲延滨.毫米波与红外技术在军事领域中的应用.红外技术.2004(3):66-70,74
61 邬显平.毫米波技术应用及其进展.电子科技导报.1999(12):7-11,15
62 苑雪,曾兴雯,申振宁.跳频同步信号的干扰研究.西安电子科技大学学报(自然科学版).2004(6):896-899
63 王薇,曾兴雯,申振宁.JTIDS最佳干扰的研究.电子对抗技术.2004(8):27-29
64 邓勇,张凤伟.跳频干扰有效区研究.无线电通信技术.2004(5):13-15
65 王勇.跳频/扩频电子系统抗干扰性能分析.现代电子技术.2003(17):7-9,15
66 郝威,杨露菁.跳频技术的发展及其干扰对策.舰船电子对抗.2004(4):7-12
67 王平军,徐敬,杨新友.对跳频通信系统干扰方法的研究.舰船电子对抗.2006(5):30-32,76
68-70 略
71 姚展予,赵柏林,李万彪,朱元竞,杜金林,戴福山.大气波导特征分析及其对电磁波传播的影响.气象学报.2000(5):605-616
72 黄小毛,张永刚,王华,唐海川.蒸发波导中雷达异常性能的仿真与分析.系统仿真学报.2006 (2):513-516
73 戴福山.海洋大气近地层折射指数模式及其在蒸发波导分析上的应用.电波科学学报.1998(3):280-286
74 王华,赵颖,黄小毛.蒸发波导对雷达探测的影响.现代雷达.2004(4):5-7,13
75 察豪,史建伟,张萍.蒸发波导条件下雷达探测距离的估计方法.现代雷达.2006(9):5-7
76 黄小毛,张永刚,王华,唐海川.蒸发波导中电磁波异常传播特征研究及其应用.电子与信息学报.2006(8):1508-1512
77 朱永松,张海勇,汲万峰.跳频通信抗干扰性能分析.现代防御技术.2005(5):37-41
78 蒋定顺,金力军.高速跳频通信系统同步技术研究.电子科技大学学报.2005(1):48-52
79 黄令国.跳频通信.计算机与网络.2003(19):57-58
80 魏瑾.跳频通信技术的研究.火控雷达技术.2004(2):50-52,70
81 张割,孙海鹏.跳频通信抗干扰性能仿真分析.航空计算技术.2006(5):43-45
82 甘良才,苏跃琳.慢跳频系统捕获方案选择及性能分析.系统工程与电子技术.1998(11):1-4
83 王龙庆,杜栓义.跳频通信中的同步技术研究.电子科技.2006(7):29-31,35
84 葛造坤,李少谦.快速跳频电台同步系统性能分析.电子科技大学学报.1996 25(9):334-338
85 帖翊,鲁远曙,金永红.跳频通信同步技术研究.无线电通信技术.2001(6):35-36
86 Sascha M.Spangenberg,Lain Scott,Stephen McLaughlin,Gordon J.R.Povey,David G.M.Cruickshank,Peter M.Grant.An FFT-Based Approach for Fast Acquisition in Spread Spectrum Communication Systems.Wireless Personal Communications.2000(1-2):27-55
87 V.M.Javanovic.On the distribution function of the spread-spectrum code acquisition time.IEEE Journal on Selected Areas in Communications.1992(4):760-769
88 Thendore Vlachos,Evaggelos Geraniotis,et al..Performance Study of Hybrid Spread-Spectrum Random-Access Communications.IEEE TRANS.ON COMM..1991(6):975-985
89 朱近康.扩谱通信的频谱相关检测方法.通信学报.1998(12):8-14
90 李白萍,林少锋,孙伟峰.直接序列扩频通信系统同步技术的研究.西安科技学院学报.2003(2):202-204,228
91 C.A.Putman.Comparison of strategies for serial acquisition of frequency-hopped spread-spectrum signals,IEE Proc.F.1986:(2):129-136
92 邱永红.新型跳频电台同步进程的分析与设计.军事通信技术.1990(4):45-51
93 甘良才,苏次琳.慢跳频系统捕获方案选择及性能分析.系统工程与电子技术.1998(11):1-4
94 邱永红.一种适合中低速跳频的串序捕获方案.现代通信技术.1988(2):23-30
95 C.A.Putman.A comparison of schemes for coarse acquisition of frequency-hopped spread-spectrum signals.IEEE Trans..1983(2):183-189
96 郭俊善.扩频技术的特点及其发展趋势.中国无线电管理.2000(2):36-38
97 李旭东,刘成朋.DS/FH通信系统的跳频同步技术研究.无线电工程.2006(5):24-26
98-99 略
100 周龙.短波跳频抗干扰新措施探讨.军事通信技术.1998(6):51-54
101 李国建,张海勇,姚磊,朱永松.跳频电台抗跟踪式干扰性能.火力与指挥控制.2006(9):46-49
102 姚富强,张毅.干扰椭圆分析与应用.解放军理工大学学报(自然科学版).2005(1):7-10
103 陈红,蔡晓霞.PLRS干扰技术研究.航天电子对抗.2005(3):54-57
104 张欣,杨绍全.JTIDS系统的干扰研究.航天电子对抗.2004(3):53-57
105 J.Banks,J.Brooks,G.Cairns,et al.On Deveny' s Definition of Chaos.Amer.Math.Monthly.1992(4):332-334
106 L.Tianyan,J.A.Yorke.Period three implies chaos.Amer.Math.Monthly.1975(10):985-992
107 N.H.Packard,J.P.Crutchfield,J.D.Farmer,R.S.shaw.Geometry from a time series.Phys.Rev.Lett..1980(9):712-716
108 T.Sauer,J.A.Yorke,M.Casdagli.Embedology.Journal of Statistical Physics.1991(3/4):579-616
109 龚云帆,徐建学.混沌信号与噪声.信号处理.1997(2):112-118,125
110 赵贵兵,石炎福.从混沌时间序列同时计算关联维和Kolmogorov熵.计算物理.1999(3):309-315
111 R.Esteller,G.Vachtsevanos,J.Echauz,B.Litt.A comparison of waveform fractal dimension algorithms.IEEE Transactions on Circuits and Systems Ⅰ:Fundamental Theory and Applications.2001(2):177-183
112 P.Grassberger,I.Procaccia.Measuring the strangeness of strange attractors.Physica D.1983(1-2):189-208
113 P.Grassberger.An optimized box-assisted algorithm for fractal dimensions.Physics Letters A.1990(1-2):63-68
114 P.Grassberger,I.Procaccia.Estimation of the Kolmogorov entropy from a chaotic signal.Phys.Rev.A.1983(4):2591-2593
115 A.Wolf,J.B.Swift,H.L.Swinney,J.A.Vastano.Determining Lyapunov exponent from a time series.Physica D.1985(2):285-289
116 M.Sano,Y.Sawada.Measurement of the Lyapunov spectrum from a chaotic time series.Phys.Rev.Lett..1985(10):1082-1085
117 M.T.Rosenstein,J.J.Collins,C.J.D.Luca.A practical method for calculating largest Lyapunov exponents from small data sets.Physica D.1993(1-2):117-134
118 J.P.Eckmann,D.Ruelle.Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamic systems.Physica D.1992(2-3):185-187
119 S.Ellner,A.R.Gallant,D.McCaffrey,D.Nychka.Convergence rate and data requirements for Jaccobian-based estimates of Lyapunov exponents from data.Phys.Lett..1991(6-7):357-363
120 H.D.I.Abarbanel,R.Brown,M.B.Kennel.Lyapunov exponents in chaotic systems:their importance and their evaluation using observed data.Int.J.Modern Phys.B.1991(9):1347-1375
121 B.Echhardt,D.Yao.Local Lyapunov exponents in chaotic systems.Physica D.1993(1-2):100-108
122 M.Banbrook,G.Ushaw,S.McLaughlim.How to extract Lyapunov exponents from short and noisy time series.IEEE Trans.On Signal Processing.1997(5):1378-1382
123 T.D.Sauer,J.A.Tempkin,J.A.Yorke.Spurious Lyapunov exponents in attractor reconstruction.Phys.Rev.Lett..1998(20):4341-4344
124 G.Rangarajan,S.Habib,R.D.Ryne.Lyapunov exponents without resealing and reorthogonalization.Phys.Rev.Lett..1998(17):3747-3750
125 M.J.Bunner,R.Hegger.Estimation of Lyapunov spetra from space-time data.Phys.Lett.A.1999(1):25-30
126 H.R.Moser,P.F.Meier.The structure of a Lyapunov spectrum can be determined locally.Phys.Lett.A.1999(3):167-174
127 J.Theiler.Estimating fractal dimension.J.Opt.Soc.Am.A.1990(6):1055-1073
128 J.D.Farmer,E.Ott and J.A.Yorke.The dimension of chaotic attractor.Physica D.1983(7):153-180
129 D.A.Russell,J.D.Hanson and E.Ott.Dimension of strange attractors.Phys.Rev.Lett..1980(14):1175-1178
130 H.S.Greenside,et al..Impracticality of a box-counting algorithm for calculating the dimensionality of strange attractors.Phys.Rev.A.1982(6):3453-3456
131 张珣,罗汉文,宋文涛.RS码在跳频系统中的应用及其实现.电信快报.2000(3):35-37
132 侯国锐,李文臣,吉亚平,乔欣.三种跳频码序列的仿真及其性能分析.南开大学学报(自然科学版).2003(3):94-100
133 J.D.Farmer,J.Sidorowich.Predicting chaotic time series.Phys.Rev.Lett..1987(8):845-848
134 吉国力,程军,米红.应用混沌相空间模线性回归模型研究短期负荷预报.系统工程理论与实践.2001(6):138-140,144
135 梁志珊,王丽敏等.基于Lyapunov指数的电力系统短期负荷预测.中国电机工程学报.1998(5):368-371
136 赵翔,孙月明.Lyapunov指数在转子剩余寿命预报中的应用.中国电机工程学报.1999(10):10-13
137 高山,单渊达.基于径向基函数网络的短期负荷预测.电力系统自动化.1999(5):31-34
138 覃光华,丁晶,缪韧,李眉眉.基于人工神经网络的卡尔曼滤波实时校正技术.水力发电.2002(11):9-12
139 谢宏,陈志业,牛东晓,赵磊.基于小波分解与气象因素影响的电力系统日负荷预测模型研究.中国电机工程学报.2001(5):5-10
140 Zhang Qinhua,Benveniste Albert.Wavelet Network.IEEE Trans on Neural Networks.1992(6):889-898
141 Zhang Jun,G.Walter,Miao Yubo,et al..Wavelet neural networks for function learning.IEEE Trans on Signal Processing.1995(6):1485-1497
142 牛东晓,邢棉,谢宏,陈志业.短期电力负荷预测的小波神经元网络模型的研究.电网技术.1999(4):21-24
143 Chen Liang,Chen Guanrong.Fuzzy predictive control of uncertain chaotic systems using time series,International journal of Bifurcation and Chaos.1999(4):757-767
144 黄建平,衣育红.利用观测资料反演非线性动力模型.中国科学B缉.1991(3):331-336
145 J.F.Gibson,J.D.Farmer,M.Casdagli,et al.An analytic approach to practical state space reconstruction.Physica D.1992(1-2):1-30
146 林嘉宇,王跃科,黄芝平等.语音信号相空间重构中的时间延迟的选择一复自相关法.信号处理.1999(3):220-225
147 洪时中.非线性时间序列分析的最新进展及其在地球科学中的应用前景.地球科学进展.1999(6):559-565
148 A.M.Fraser,H.L.Swinney.Independent coordinates for strange attractors from mutual information.Phys.Rev.A.1986(2):1134-1140
149 D.S.Broomhead,G.P.King.Extracting qualitative dynamics from experimental data.Physica D.1986(2-3):217-236
150 A.R.Osbome,A.Provencale.Finite correlation dimension for stochastic systems with power-law spectra.Physics D.1989(3):357-381
151 G.Sugihara,R.M.May.Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series.Nature.1990(6268):734-741
152 M.R.Allen,L.A.Smith.Monte Carlo SSA:Detecting irregular oscillations in the presence of coloured noise.Journal of Climate.1996(12):3373-3404
153 P.Grassberger,I.Procaccia.Characterization of strangeness attractors.Phys.Rev.Lett..1983(5):346-349
154 Cao Liangyue.Practical method for determining the minimum embedding dimension of a scalar time series.Physica D.1997(1-2):43-50
155 H.D.I.Abarbanel,R.Brown,J.J.Sidorowich,L.S.Tsimring,The analysis of observed chaotic data in physical systems.Rev.Mod.Phys..1993(4):1331-1392
156 H.D.I.Abarbanel,Naoki Masuda,M.I.Rabinovich,Evren Tumer.Distribution of mutual information.Physics Letters A.2001(281):368-373
157 Daniel T.Kaplan,Leon Glass.Direct test for determinism in a time series.Physical Review Letters.1992(4):427-430
158 Liming W Salvino,Robert Cawley.Smoothness implies determinism:a method to detect it in time series.Physical Review Letters.1994(8):1091-1094
159 M.Z.Ding,C.Grebogi,E.Ott,T.Sauer,J.A.Yorke.Plateau onset for correlation dimension:When does it occur?.Phys.Rev.Lett..1993(25):3872-3875
160 Taiye B,Sangoyomi.Nonlinear dynamics of the Great Salt Lake:dimension estimation.Water Resources Research.1996(1):149-159
161 孙海云,曹庆杰.混沌时间序列建模及预测.系统工程理论与实践.2001(5):106-109,113
162 H.S.Kim,R.Eykholt,J.D.Salas.Nonlinear dynamics,delay times,and embedding windows.Physica D.1999(1-2):48-60
163 Galka A,Maa B T,Pfister G.Estimating the dimension of high-dimensional attractors:a comparison between two algorithms.Physica D.1998(3-4):237-251
164 张家树,肖先赐.混沌时间序列的Volterra自适预测.物理学报.2000(3):403-408
165 侯越先,何丕廉,王雷.适用于高必要嵌入维的混沌时间序列预测算法.天津大学学报.1999(5):594-598
166 丁涛.混沌理论在径流预报中的应用研究.大连:大连理工大学博士论文,2004
5 薛良金.毫米波工程基础.第1版.哈尔滨:哈尔滨工业大学出版社,2004
6 D.C施莱赫.信息时代的电子战.第1版.成都:信息产业部电子第二十九研究所电子对抗国防科技重点实验室,2000
7 何世彪,谭晓衡.扩频技术及其实现.第1版.北京:电子工业出版社,2007
8 梅文华,王淑波,邱永红,杜兴民.跳频通信.第1版.北京:国防工业出版社,2005
9 B.Sklar.Digital communication:fundamental and applications.Second edition.PRENTICE HALL PTR,2001
10 沈允春.扩谱技术.第1版.北京:国防工业出版社,1995
11 Richard A.Poisel.现代通信干扰原理与技术.第1版.北京:电子工业出版社,2005
12 曾兴雯,刘乃安,孙献璞.扩展频谱通信及其多址技术.第1版.西安:西安电子科技大学出版社,2004
13 查光明,熊贤祚.扩频通信.第1版.西安:西安电子科技大学出版社,2002
14 朱近康.扩展频谱通信及其应用.第1版.合肥:中国科技大学出版社,1993
15 郑继禹,林基明.同步理论与技术.第1版.北京:电子工业出版社,2003
16 李承恕,赵荣黎.扩展频谱通信.第1版.北京:人民邮电出版社,1993
17 R.L.Devaney.An Introduction to Chaotic Dynamical Systems.Second Edition.New York:Addison-Wesley,1989
18 程极泰.混沌的理论与应用.第1版.上海:上海科学技术文献出版社,1992
19 帕利斯,梅罗.动力系统几何理论引论.第1版.北京:科学出版社,1988
20 张筑生.微分动力系统原理.第1版.北京:科学出版社,1987
21 陈士华,陆君安.混沌动力学初步.第1版.武汉:武汉水利电力大学出版社,1998
22 张锁春.现代振荡反应的数学理论和数值方法.第1版.郑州:河南科学技术出版社,1991
23 魏宏森,宋永华等.开创复杂性研究的新学科-系统科学纵览.第1版.成都:四川教育出版社,1991
24 陈予恕.非线性动力学中现代分析方法.第1版.北京:科学出版社,1992
25 宋学锋.混沌经济学理论及其应用研究.第1版.徐州:中国矿业大学出版社,1996
26 梅文华,杨义先.跳频通信地址编码理论.第1版.北京:国防工业出版社,2003
27 张宗橙.纠错编码原理和应用.第1版.北京:电子工业出版社,2003
28 Roger L.Peterson,Rodger E.Ziemer,David E.Bortg.Introduction to Spread Spectrum Communications.第1版.北京:电子工业出版社,2006
29 金阵玉.信息论.第1版.北京:北京理工大学出版社,1991
30 洪时中,洪时明.分维测算中“无标度区”的客观制定与检验,分形理论及其应用.第1版.合肥:中国科技大学出版社,1993
31 W.A.Brock,D.A.Hsieh,B.LeBaron.Nonlinear dynamics,chaos,and instability:statistical theory and economic evidence.Cambridge,Mass:MIT Press.,1991
32 邓聚龙.灰色预测与决策.第1版.武汉:华中理工大学出版社,1992
33 W.L.Patterson,et al..Engineer's refractive effect prediction system(EREPS).NCCOSC NraD.San Diego,CA.Technology Report 2648.1994
34 H.G.Booker,W.Walkinshaw.The mode theory of tropospheric refraction and its relation to wave-guides and diffraction.Meteorological factors in radio-wave propagation.London.Page 80-127.1946
35 H.Jeske.The state of radar-range prediction over sea.Tropospheric Radio Wave Propagation,Part Ⅱ,NATO AGARD CP-70.Paper 50.1971
36 LI Weidong,WANG Jing,YAO yan.Synchronization design of frequencyhopping communication system.ICCT' 98.Bejing.1998
37 Marc Moeneclaey,Jiangzhou Wang.Interleaved coding and predetection diversity for hybrid DS/SFH-SSMA over indoor radio channels.Proceedings GLOBECOM 90.San Diego,CA.Page 266-270.1990
38 F.Takens.Detecting strange attractors in fluid turbulence.Dynamical Systems and Turbulence.Berlin.Page 366-381.1981
39-59 略
60 任丽娜,曲延滨.毫米波与红外技术在军事领域中的应用.红外技术.2004(3):66-70,74
61 邬显平.毫米波技术应用及其进展.电子科技导报.1999(12):7-11,15
62 苑雪,曾兴雯,申振宁.跳频同步信号的干扰研究.西安电子科技大学学报(自然科学版).2004(6):896-899
63 王薇,曾兴雯,申振宁.JTIDS最佳干扰的研究.电子对抗技术.2004(8):27-29
64 邓勇,张凤伟.跳频干扰有效区研究.无线电通信技术.2004(5):13-15
65 王勇.跳频/扩频电子系统抗干扰性能分析.现代电子技术.2003(17):7-9,15
66 郝威,杨露菁.跳频技术的发展及其干扰对策.舰船电子对抗.2004(4):7-12
67 王平军,徐敬,杨新友.对跳频通信系统干扰方法的研究.舰船电子对抗.2006(5):30-32,76
68-70 略
71 姚展予,赵柏林,李万彪,朱元竞,杜金林,戴福山.大气波导特征分析及其对电磁波传播的影响.气象学报.2000(5):605-616
72 黄小毛,张永刚,王华,唐海川.蒸发波导中雷达异常性能的仿真与分析.系统仿真学报.2006 (2):513-516
73 戴福山.海洋大气近地层折射指数模式及其在蒸发波导分析上的应用.电波科学学报.1998(3):280-286
74 王华,赵颖,黄小毛.蒸发波导对雷达探测的影响.现代雷达.2004(4):5-7,13
75 察豪,史建伟,张萍.蒸发波导条件下雷达探测距离的估计方法.现代雷达.2006(9):5-7
76 黄小毛,张永刚,王华,唐海川.蒸发波导中电磁波异常传播特征研究及其应用.电子与信息学报.2006(8):1508-1512
77 朱永松,张海勇,汲万峰.跳频通信抗干扰性能分析.现代防御技术.2005(5):37-41
78 蒋定顺,金力军.高速跳频通信系统同步技术研究.电子科技大学学报.2005(1):48-52
79 黄令国.跳频通信.计算机与网络.2003(19):57-58
80 魏瑾.跳频通信技术的研究.火控雷达技术.2004(2):50-52,70
81 张割,孙海鹏.跳频通信抗干扰性能仿真分析.航空计算技术.2006(5):43-45
82 甘良才,苏跃琳.慢跳频系统捕获方案选择及性能分析.系统工程与电子技术.1998(11):1-4
83 王龙庆,杜栓义.跳频通信中的同步技术研究.电子科技.2006(7):29-31,35
84 葛造坤,李少谦.快速跳频电台同步系统性能分析.电子科技大学学报.1996 25(9):334-338
85 帖翊,鲁远曙,金永红.跳频通信同步技术研究.无线电通信技术.2001(6):35-36
86 Sascha M.Spangenberg,Lain Scott,Stephen McLaughlin,Gordon J.R.Povey,David G.M.Cruickshank,Peter M.Grant.An FFT-Based Approach for Fast Acquisition in Spread Spectrum Communication Systems.Wireless Personal Communications.2000(1-2):27-55
87 V.M.Javanovic.On the distribution function of the spread-spectrum code acquisition time.IEEE Journal on Selected Areas in Communications.1992(4):760-769
88 Thendore Vlachos,Evaggelos Geraniotis,et al..Performance Study of Hybrid Spread-Spectrum Random-Access Communications.IEEE TRANS.ON COMM..1991(6):975-985
89 朱近康.扩谱通信的频谱相关检测方法.通信学报.1998(12):8-14
90 李白萍,林少锋,孙伟峰.直接序列扩频通信系统同步技术的研究.西安科技学院学报.2003(2):202-204,228
91 C.A.Putman.Comparison of strategies for serial acquisition of frequency-hopped spread-spectrum signals,IEE Proc.F.1986:(2):129-136
92 邱永红.新型跳频电台同步进程的分析与设计.军事通信技术.1990(4):45-51
93 甘良才,苏次琳.慢跳频系统捕获方案选择及性能分析.系统工程与电子技术.1998(11):1-4
94 邱永红.一种适合中低速跳频的串序捕获方案.现代通信技术.1988(2):23-30
95 C.A.Putman.A comparison of schemes for coarse acquisition of frequency-hopped spread-spectrum signals.IEEE Trans..1983(2):183-189
96 郭俊善.扩频技术的特点及其发展趋势.中国无线电管理.2000(2):36-38
97 李旭东,刘成朋.DS/FH通信系统的跳频同步技术研究.无线电工程.2006(5):24-26
98-99 略
100 周龙.短波跳频抗干扰新措施探讨.军事通信技术.1998(6):51-54
101 李国建,张海勇,姚磊,朱永松.跳频电台抗跟踪式干扰性能.火力与指挥控制.2006(9):46-49
102 姚富强,张毅.干扰椭圆分析与应用.解放军理工大学学报(自然科学版).2005(1):7-10
103 陈红,蔡晓霞.PLRS干扰技术研究.航天电子对抗.2005(3):54-57
104 张欣,杨绍全.JTIDS系统的干扰研究.航天电子对抗.2004(3):53-57
105 J.Banks,J.Brooks,G.Cairns,et al.On Deveny' s Definition of Chaos.Amer.Math.Monthly.1992(4):332-334
106 L.Tianyan,J.A.Yorke.Period three implies chaos.Amer.Math.Monthly.1975(10):985-992
107 N.H.Packard,J.P.Crutchfield,J.D.Farmer,R.S.shaw.Geometry from a time series.Phys.Rev.Lett..1980(9):712-716
108 T.Sauer,J.A.Yorke,M.Casdagli.Embedology.Journal of Statistical Physics.1991(3/4):579-616
109 龚云帆,徐建学.混沌信号与噪声.信号处理.1997(2):112-118,125
110 赵贵兵,石炎福.从混沌时间序列同时计算关联维和Kolmogorov熵.计算物理.1999(3):309-315
111 R.Esteller,G.Vachtsevanos,J.Echauz,B.Litt.A comparison of waveform fractal dimension algorithms.IEEE Transactions on Circuits and Systems Ⅰ:Fundamental Theory and Applications.2001(2):177-183
112 P.Grassberger,I.Procaccia.Measuring the strangeness of strange attractors.Physica D.1983(1-2):189-208
113 P.Grassberger.An optimized box-assisted algorithm for fractal dimensions.Physics Letters A.1990(1-2):63-68
114 P.Grassberger,I.Procaccia.Estimation of the Kolmogorov entropy from a chaotic signal.Phys.Rev.A.1983(4):2591-2593
115 A.Wolf,J.B.Swift,H.L.Swinney,J.A.Vastano.Determining Lyapunov exponent from a time series.Physica D.1985(2):285-289
116 M.Sano,Y.Sawada.Measurement of the Lyapunov spectrum from a chaotic time series.Phys.Rev.Lett..1985(10):1082-1085
117 M.T.Rosenstein,J.J.Collins,C.J.D.Luca.A practical method for calculating largest Lyapunov exponents from small data sets.Physica D.1993(1-2):117-134
118 J.P.Eckmann,D.Ruelle.Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamic systems.Physica D.1992(2-3):185-187
119 S.Ellner,A.R.Gallant,D.McCaffrey,D.Nychka.Convergence rate and data requirements for Jaccobian-based estimates of Lyapunov exponents from data.Phys.Lett..1991(6-7):357-363
120 H.D.I.Abarbanel,R.Brown,M.B.Kennel.Lyapunov exponents in chaotic systems:their importance and their evaluation using observed data.Int.J.Modern Phys.B.1991(9):1347-1375
121 B.Echhardt,D.Yao.Local Lyapunov exponents in chaotic systems.Physica D.1993(1-2):100-108
122 M.Banbrook,G.Ushaw,S.McLaughlim.How to extract Lyapunov exponents from short and noisy time series.IEEE Trans.On Signal Processing.1997(5):1378-1382
123 T.D.Sauer,J.A.Tempkin,J.A.Yorke.Spurious Lyapunov exponents in attractor reconstruction.Phys.Rev.Lett..1998(20):4341-4344
124 G.Rangarajan,S.Habib,R.D.Ryne.Lyapunov exponents without resealing and reorthogonalization.Phys.Rev.Lett..1998(17):3747-3750
125 M.J.Bunner,R.Hegger.Estimation of Lyapunov spetra from space-time data.Phys.Lett.A.1999(1):25-30
126 H.R.Moser,P.F.Meier.The structure of a Lyapunov spectrum can be determined locally.Phys.Lett.A.1999(3):167-174
127 J.Theiler.Estimating fractal dimension.J.Opt.Soc.Am.A.1990(6):1055-1073
128 J.D.Farmer,E.Ott and J.A.Yorke.The dimension of chaotic attractor.Physica D.1983(7):153-180
129 D.A.Russell,J.D.Hanson and E.Ott.Dimension of strange attractors.Phys.Rev.Lett..1980(14):1175-1178
130 H.S.Greenside,et al..Impracticality of a box-counting algorithm for calculating the dimensionality of strange attractors.Phys.Rev.A.1982(6):3453-3456
131 张珣,罗汉文,宋文涛.RS码在跳频系统中的应用及其实现.电信快报.2000(3):35-37
132 侯国锐,李文臣,吉亚平,乔欣.三种跳频码序列的仿真及其性能分析.南开大学学报(自然科学版).2003(3):94-100
133 J.D.Farmer,J.Sidorowich.Predicting chaotic time series.Phys.Rev.Lett..1987(8):845-848
134 吉国力,程军,米红.应用混沌相空间模线性回归模型研究短期负荷预报.系统工程理论与实践.2001(6):138-140,144
135 梁志珊,王丽敏等.基于Lyapunov指数的电力系统短期负荷预测.中国电机工程学报.1998(5):368-371
136 赵翔,孙月明.Lyapunov指数在转子剩余寿命预报中的应用.中国电机工程学报.1999(10):10-13
137 高山,单渊达.基于径向基函数网络的短期负荷预测.电力系统自动化.1999(5):31-34
138 覃光华,丁晶,缪韧,李眉眉.基于人工神经网络的卡尔曼滤波实时校正技术.水力发电.2002(11):9-12
139 谢宏,陈志业,牛东晓,赵磊.基于小波分解与气象因素影响的电力系统日负荷预测模型研究.中国电机工程学报.2001(5):5-10
140 Zhang Qinhua,Benveniste Albert.Wavelet Network.IEEE Trans on Neural Networks.1992(6):889-898
141 Zhang Jun,G.Walter,Miao Yubo,et al..Wavelet neural networks for function learning.IEEE Trans on Signal Processing.1995(6):1485-1497
142 牛东晓,邢棉,谢宏,陈志业.短期电力负荷预测的小波神经元网络模型的研究.电网技术.1999(4):21-24
143 Chen Liang,Chen Guanrong.Fuzzy predictive control of uncertain chaotic systems using time series,International journal of Bifurcation and Chaos.1999(4):757-767
144 黄建平,衣育红.利用观测资料反演非线性动力模型.中国科学B缉.1991(3):331-336
145 J.F.Gibson,J.D.Farmer,M.Casdagli,et al.An analytic approach to practical state space reconstruction.Physica D.1992(1-2):1-30
146 林嘉宇,王跃科,黄芝平等.语音信号相空间重构中的时间延迟的选择一复自相关法.信号处理.1999(3):220-225
147 洪时中.非线性时间序列分析的最新进展及其在地球科学中的应用前景.地球科学进展.1999(6):559-565
148 A.M.Fraser,H.L.Swinney.Independent coordinates for strange attractors from mutual information.Phys.Rev.A.1986(2):1134-1140
149 D.S.Broomhead,G.P.King.Extracting qualitative dynamics from experimental data.Physica D.1986(2-3):217-236
150 A.R.Osbome,A.Provencale.Finite correlation dimension for stochastic systems with power-law spectra.Physics D.1989(3):357-381
151 G.Sugihara,R.M.May.Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series.Nature.1990(6268):734-741
152 M.R.Allen,L.A.Smith.Monte Carlo SSA:Detecting irregular oscillations in the presence of coloured noise.Journal of Climate.1996(12):3373-3404
153 P.Grassberger,I.Procaccia.Characterization of strangeness attractors.Phys.Rev.Lett..1983(5):346-349
154 Cao Liangyue.Practical method for determining the minimum embedding dimension of a scalar time series.Physica D.1997(1-2):43-50
155 H.D.I.Abarbanel,R.Brown,J.J.Sidorowich,L.S.Tsimring,The analysis of observed chaotic data in physical systems.Rev.Mod.Phys..1993(4):1331-1392
156 H.D.I.Abarbanel,Naoki Masuda,M.I.Rabinovich,Evren Tumer.Distribution of mutual information.Physics Letters A.2001(281):368-373
157 Daniel T.Kaplan,Leon Glass.Direct test for determinism in a time series.Physical Review Letters.1992(4):427-430
158 Liming W Salvino,Robert Cawley.Smoothness implies determinism:a method to detect it in time series.Physical Review Letters.1994(8):1091-1094
159 M.Z.Ding,C.Grebogi,E.Ott,T.Sauer,J.A.Yorke.Plateau onset for correlation dimension:When does it occur?.Phys.Rev.Lett..1993(25):3872-3875
160 Taiye B,Sangoyomi.Nonlinear dynamics of the Great Salt Lake:dimension estimation.Water Resources Research.1996(1):149-159
161 孙海云,曹庆杰.混沌时间序列建模及预测.系统工程理论与实践.2001(5):106-109,113
162 H.S.Kim,R.Eykholt,J.D.Salas.Nonlinear dynamics,delay times,and embedding windows.Physica D.1999(1-2):48-60
163 Galka A,Maa B T,Pfister G.Estimating the dimension of high-dimensional attractors:a comparison between two algorithms.Physica D.1998(3-4):237-251
164 张家树,肖先赐.混沌时间序列的Volterra自适预测.物理学报.2000(3):403-408
165 侯越先,何丕廉,王雷.适用于高必要嵌入维的混沌时间序列预测算法.天津大学学报.1999(5):594-598
166 丁涛.混沌理论在径流预报中的应用研究.大连:大连理工大学博士论文,2004