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Two-Step Channel Estimation Scheme for OFDM Systems over Fast Fading Channels
|關鍵字:||通道估計;channel estimation;決策回授之通道估計;DDCE||出版社:||電機工程學系所||引用:|| M. Engels, Wireless OFDM Systems, Kluwer Academic publishers, Jan. 2002  J. G. Proakis, Digital Communication. 4th ed., McGraw-Hill, 2001.  Harry L.Van Trees, “Detection, Estimation, and Modulation Theory”, John Wiley & Sons Inc, 2001  S. M. Kay, Modern Spectral Estimation. Englewood Cliffs, NJ: Prentice-Hall, 1988. Yong Soo Cho, Jaekwon Kim, Won Young Yang, Chung-Gu Kang“MIMO-OFDM Wireless Communications With Matlab” Nov. 16, 2010  B. R. Saltzberg, “Performance of an efficient parallel data transmission system,” IEEE Trans. Commun. Technol., vol. COM-15, pp. 805-81 I , Dec. 1967.  S. B. Weinstein and P. M. Ebert, “Data transmission by frequency multiplexing using the discrete Fourier transform,” IEEE Trans. Commun. Technol.. vol. COM-19, pp. 628-634, Oct. 1971.  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Sinem Coleri, Mustafa Ergen, Anuj Puri, and Ahmad Bahai “Channel Estimation Techniques Based on Pilot Arrangement in OFDM Systems”IEEE Transansactions on Broadcasting, Vol. 48, no. 3, Sep .2002.  J.-J. van de Beek, O. Edfors, M. Sandell, and S. K. Wilson, “On Channel Estimation in OFDM Systems,” in Proc. 45th IEEE Vehicular Technology Conf., Chicago, IL, pp. 815-819, July 1995.  Seyed Alireza Banani, and Rodney G. Vaughan “OFDM With Iterative Blind Channel Estimation ” IEEE Transansactions on Vehicular Technology, Vol. 59,no. 9, Nov. 2010  C.C Cheng and D.C. Chang, “Improved time-domain channel tracking algorithms for mobile OFDM applications,” in IEEE 4th VTS Asoa Pacific Wireless Communication Symposium(APWCS 2007), Hsinchu, Aug. 2007.||摘要:||
In OFDM systems, channel state information is important is important for the receiver to recover transmitted data from channel degraded signals. In order to enable the receiver to obtain the channel information, known training symbols will be transmitted, and the number of training symbols increases with the Doppler frequency .However, the transmission of a large number of training symbols will reduce the transmission efficiency. Decision directed channel estimation (DDCE),has been proposed to reduce the number of training symbols by performing channel estimation based on the temporarily detected data, which can be obtained based on the latest channel estimate, The performance of DDCE is restricted by the turns of temporarily detected data, which may even propagate to affect succeeding data detection and channel estimation. In this thesis, we will investigate the error propagation problem of DDCE and propose methods to solve this problem. Previous researches on improving the performance of DDCE extract detected data of high reliability for channel estimation, instead of using all detection results. However the computation of probability of correctness for extracting detection results in previous researches still requires the transmission of pilot data to obtain initial channel information. We will propose a new method for extracting reliable detection results by incorporating channel prediction in the evaluation of correct detection probability. Simulation results demonstrate that at the same even detection probability, the proposed algorithm can detect a larger number of data for channel estimation, and thus has better performance than existing algorithms.
|Appears in Collections:||電機工程學系所|
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