二维扩展频谱技术研究
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摘要
直接序列扩展频谱技术(DSSS)是第三代移动通信系统的核心技术,本文主要讨论的二维扩展频谱技术(2D-CDMA)就是直接序列扩展频谱技术与多载波码分多址技术(MC-CDMA)的结合,它是移动通信领域中一种新兴的扩频多址方式。
     2D-CDMA将正交频分复用技术(OFDM)应用于CDMA中,使之同时具有这两者的优点。它先将原始数据流复制成多路并行数据,经频域扩频和时域扩频,再调制到互相正交的子载波上传输。这一技术能有效地抗多径干扰引起的符号间串扰(ISI),并具有频率分集的优点,在移动通信领域中具有广阔的应用前景。
     本文提出了一个较为完整的二维扩展频谱系统的总体模型,并通过对接收机和发射机的数学分析阐明了二维扩展频谱系统的基本原理。
     通信系统的性能直接决定了它是否具有实际应用价值,本文重点分析了2D-CDMA在加性白高斯噪声(AWGN)信道和瑞利衰落信道中的性能,分析结果表明二维扩展频谱系统有较强的抗瑞利衰落的能力。
     由于采用了多载波技术,系统具有频率分集的能力,所以本文将不同的合并方式应用于这一系统,得到了各自的性能,并对之作了比较。
     最后本文对系统中的核心部分,即信道估计器作了深入的研究,分析了基于导频符号的一些信道估计方法,它们是线性插值估计、基于DFT的估计和基于变换域的估计。并且对不同的估计方法作了仿真,结果表明基于变换域的信道估计器要略优于另外两种方法。
Direct sequence spread spectrum (DSSS) technology is the central technology for the third generation mobile communication systems. In this paper, we discuss the two-dimensional spread spectrum technology (2D-CDMA), which is the combination of DSSS and multi-carrier code division multiple access (MC-CDMA). This is a novel spread spectrum multiple access method in mobile communication.
    2D-CDMA applies orthogonal frequency division multiplexing (OFDM) into CDMA, thus has advantages of both of them. It copies the original data stream to several parallel data streams, spreads them in both time and frequency domain, then modulates them to orthogonal sub-carriers for transmission. This technology will have brilliant future for its efficiency in canceling ISI and its advantage of frequency diversity.
    A whole model of 2D-CDMA is presented in this paper and it function is showed by mathematical analysis of its transmitter and receiver.
    It is the performance of the communication system that determines its application value. Therefore, the performance of 2D-CDMA in both AWGN and Rayleigh fading channel is analyzed and the results show that this technology has the ability to counteract Rayleigh fading.
    Frequency diversity is a main advantage of this system, because of the employment of multi-carrier. This paper applies different combination methods into the system and gets their performance comparison.
    At the end of this paper, we focus on the channel estimator. Several estimation methods, such as linear Interpolation estimation, estimation based on DFT and estimation based on transform domain, are analyzed and simulated. The computer simulation results show that the estimator based on transform domain is better than the other two.
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