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Study on the Related Parameters of High-Speed Mobile Channel

Author: ShenHaiBin
Tutor: CaoShiKe
School: Nanjing University of Posts and Telecommunications
Course: Electronics and Communication Engineering
Keywords: MIMO MIMO-OFDM Channel estimation Carrier Frequency Offset Estimation
CLC: TN919.3
Type: Master's thesis
Year: 2012
Downloads: 12
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Abstract


MIMO technology become the key to solving this problem has become the urgent problem of the communications industry, with the increasingly rapid development of communication industry to improve the utilization of the spectrum resources. MIMO technology can make full use of space resources, in the case of the total transmission power without increasing the system bandwidth and the antenna, is effective against the influence of fading of the radio channel, and greatly improve the spectrum utilization of the communication system, and channel capacity. OFDM technology is a combination of a modulation technique and multiplexing, but also a technique based on the multi-carrier transmission. When the channel is frequency-selective fading channel MIMO system alone will not be able to play the above characteristics, OFDM technology can take advantage of the MIMO system frequency selective fading channel into multiple sub-carrier frequency non-selective channel. MIMO technology can also make use the characteristics of the system capacity can be improved, and effective to improve the reliability of the wireless channel and the signal quality. This paper describes the MIMO system channel estimation algorithm combined with OFDM technology MIMO system carrier frequency offset estimation, are summarized as follows: First, according to the direction of the current development of mobile communication technology, the analysis of the current research status, given the source of the dissertation topic and research significance. The basis of the radio channel characteristics, respectively, of the MIMO systems, OFDM systems, MIMO-OFDM system the basic principle and the system model are described. Subsequently, in accordance with the MIMO system model described earlier, for different channel environment for MIMO system analysis, the channel estimation of the non-selectivity and frequency selectivity of the main frequency of these two channel environment, the theoretical basis of the estimated first made introduced, and observations were made with LS, ML, MMSE algorithm analysis; given on a different channel environment in accordance with the training sequence based on estimation theory algorithm estimates and simulation results are given. Finally, we study MIMO-OFDM system carrier frequency offset estimation algorithm. As the carrier frequency offset causes the loss of orthogonality between subcarriers MIMO-OFDM system severely degrade system performance, so MIMO-OFDM system carrier frequency offset estimation requires almost perfect. From the time and frequency domains, respectively, the carrier frequency offset estimation, the training sequence for the time domain system, reflected in the time domain, according to the frequency offset for the same training sequence different phase deviation, using two different lengths of a sequence estimation algorithm, short The sequence is used to expand the estimation range, long sequence to improve the estimation accuracy. For frequency domain using a method of the frequency domain pilot, according to the sampling clock error performance in the frequency domain for the pilot phase rotation, by detecting the adjacent pilot phase estimation algorithm, and the simulation results are given to the corresponding algorithm.

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