智能天线系统仿真研究
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摘要
随着全球通信业务的迅速发展,作为未来个人通信主要手段的无线移动通信技术引起
    了人们极大地关注。如何消除信道干扰(CCI)、多址干扰(MAI)与多径衰落的影响成为人们
    在提高无线移动通信系统性能时考虑的主要因素。智能天线利用数字信号处理技术,产生
    空间定向波束,使天线主波束对准用户信号到达方向,旁瓣或零陷对准干扰信号到达方向,
    达到充分高效利用移动用户信号并删除或抑制干扰信号的目的。与其它日渐深入和成熟的
    干扰消除技术相比,智能天线技术在移动通信中的应用研究更显得方兴未艾并显示出巨大
    潜力。
     本文的主要内容包括:
     1.综述了移动通信系统的发展状况和第三代移动通信系统中的某些技术。
     2.建立了接近实际情况的无线通信空时信道模型,考虑了:时延扩展、角度扩展、
     多谱勒频移以及瑞利衰落的情况。
     3.描述了几种自适应算法的原理,包括:级连训练算法,级连训练+DR 算法,码
     滤波算法和恒模算法。
     4.根据建立的空时信道模型,对各种算法进行了数值计算,并对其结果进行了分析。
     5.初步完成了智能天线实验系统仿真平台。
With the rapid development of the world communication service,
    wireless mobile
    communication technology regarded as future personal
    communication main means makes us pay
    much attention to. How to eliminate the CCJ, MA! and multipath
    fading becomes the essential
    factors conside~d when ~ve impmve the system perfomiance of
    wireless mobile communication.
    Smart antennas use the digital signal pmcessing technologies to
    pmduce spatial and directional
    beam, then let the antenna's main beam point to the coming
    direction of reference user and the side
    lobe point to the coming direction of interference user. Compared
    with other mature interference
    elimination technologies, the application of smart antenna
    technology in mobile communication
    shows its tremendous potential.
    
    The main contents in this paper are:
    
    1. Summarize the pmgress of the mobile communication system and
    some technologies of
    the Thin! Generation Mobile Communication System.
    
    2. Create the practical wireless time-space channel model and
    consider the condition of time
    delay spre4 angle spre4 Doppler fi~quency spread and rayleigh
    fading.
    
    3.Desciibe the piinciple of several adaptive algorithms,
    including: cascade algorithm,
    
    cascade+DR algorithm, code fflter algorithm and constant modulus
    algorithm
    
    4.Accoiding to the time-space channel model, compare the
    simulation outcomes of several
    adaptive algorithms and analyze their outcomes.
    
    5.Acconiplish the experiment flat of Smart Antenna system
    simulation preliminamy
引文
[1] 祁玉生,邵世祥,《现代移动通信系统》,人民邮电出版社,1999.
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    [3] 查光明,熊贤祚,《扩频通信》,西安电子科技大学出版社,1997.
    [4] 郭梯云,杨家玮,李建东,《数字移动通信》,人民邮电出版社,1996.
    [5] 朱近康,“面向新一代移动通信的智能移动通信技术”,电子学报,Vol.27,No.11A Nov.1999.
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    [7] Fumiyuki Adachi,Mamoru Sawahashi,and Hirohito Suda,“Wideband DS-CDMA for Next-Generation Mobile Communications Systems”,IEEE 1998
    [8] Bjom Gudmundson,“UMTS/IMT2000 Based on Wideband CDMA”,ICCT’98 October 22-24,1998 Beijing,China
    [9] Theodore S.Rappaport, “Wireless Communications Principles and Practice”,Beijing, Publishibg House of Electronics Industry,1999.
    [10] Ayman F.Naguib,“Adaptive Antenas for CDMA Wireless Networks”,1996. 8.
    [11] “Adaptive Array Antennas for the Base Station of a Multi Processing Gain CDMA System”,IEICE Trans.Fundamentals,vol.E82-A,no.12,pp2687-2696,December,1999.
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    [14] seung Young Hang Suk Oh ,Woo Yong Lee and Chung Gu Kang,“Performance of Pilot/Data-combined Channel Estimation and Power Allocations for Dual-Rate DS/CDMA System over Mobile Radio Channels”,IEEE.
    [15] Michiel P. Lotter ,Pieter van Rooyen, “Cellular Channel Modeling and the Prformance of DS-CDMA Systems with Antenna Arrays”,IEEE Joumal on Selected Areas in Communications,vol.1 7,no.1 2,Dec.1999.
    [16] Richard B.Ertel ,“Spatial Filtering with Adaptive Antenna Array Algorithms in DS-CDMA Communication Systems”,May.1996.
    
    
    [17] "Submission of Proposed RadioTransmissionTechnologies", SMG2, 1998.
    [18] X. Bemstein and A.M.Haimovich, "Space-Time Processing for Increased Capacity of Wireless CDMA" , IEEE 1996.
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