基于天线块交织的MIMO-OFDM系统峰值功率优化方法的研究毕业论文正文文档.doc

基于天线块交织的MIMO-OFDM系统峰值功率优化方法的研究毕业论文正文文档.doc

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基于天线块交织的MIMO-OFDM系统峰值功率优化方法的研究毕业论文正文文档

摘 要 本文主要是基于天线块交织的MIMO-OFDMOFDM技术与MIMO技术相结合可以满足人们对宽带业务的要求,提高数据传输速率,增加频谱利用率。目前OFDM技术广泛应用于非对称数字用户环路(ADSL)、高清晰度电视(HDTV)信号传输、数字视频广播(DVB)、无线局域网(WLAN)等领域,MIMO-OFDM技术也已广泛应用于4G中,极大推动无线移动通信技术的发展。MIMO-OFDM系统同样存在PAPR过高的问题,会使信号波形产生畸变,以致降低整个系统的传输性能和可靠性。对于MIMO-OFDM系统,多天线是主要特点,尝试将块交织与多天线特点相结合来改善系统的峰值功率问题。 在研究此优化方法时,首先先建立原始和优化后的MIMO-OFDMMATLAB仿真,不断重复实验,从而得到两种情况下PAPRPAPR性能,可以借助互补累积分布函数CCDF。通过仿真图像,我们能很直观清晰看到多天线块交织方法可以很好地改善MIMO-OFDM系统的PAPR性能。 关键词:;多天线块交织;; ABSTRACT In this paper, a peak power optimization method based on the antenna block interleaving in MIMO-OFDM system is introduced. As one of multicarrier communication techniques, orthogonal Frequency Division Multiplexing can effectively resist many unfavorable factors in mobile communication channel. The combination of OFDM and MIMO can meet peoples demands for broadband services, higher data rates and increased spectral efficiency. OFDM technology is currently widely used in Asymmetric Digital Subscriber Line (ADSL), high definition television (HDTV) signal transmission, digital video broadcasting (DVB), wireless local area network (WLAN) and so on. MIMO-OFDM technology has been widely used in 4G, and greatly promoted the development of wireless mobile communication technology. In MIMO-OFDM system, the problem of high PAPR also exists, which induces signal waveform distortion and reduces transmission performance and reliability of the entire system. Since the main property of MIMO-OFDM system is multiple antennas, the combination of block interleaving and multiple antennas is employed for improving the system of peak power problem. In the study of this optimization method, the original and optimized block diagrams of MIMO-OFDM system are firstly established, and then their MATLAB simulation module and repeated the experiment are done. The PAPR performance in both cases can be obtained. In order to accurately assess the PAPR performance, complementary cumulative distribution function (CCDF) can be used. It can be seen form th

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