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      Sabit genişbantlı telsiz uygulamalarında ÇGÇÇ-DFBÇ için kanal kestirimi

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      Author
      Karakaya, B.
      Çırpan, H. A.
      Panayırcı, Erdal
      Date
      2006-04
      Source Title
      2006 IEEE 14th Signal Processing and Communications Applications Conference
      Publisher
      IEEE
      Volume
      2006
      Language
      Turkish
      Type
      Conference Paper
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      Abstract
      Systems employing multiple transmit and receive antennas, known as multiple input multiple output (MIMO) systems can be used with OFDM to improve the resistance to channel impairments. Thus the technologies of OFDM and MIMO are equipped in fixed wireless applications with attractive features, including high data rates and robust performance. However, since different signals are transmitted from different antennas simultaneously, the received signal is the superposition of these signals, which implies new challenges for channel estimation. In this paper we propose a time domain MMSE based channel estimation approach for MIMO-OFDM systems. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and finds MMSE estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion, no matrix inversion is required in the proposed MMSE estimator. Also the performance of the proposed approach is studied through the evaluation of minimum Bayesian MSE. © 2006 IEEE.
      Keywords
      Bayesian networks
      Broadband networks
      Fading channels
      Orthogonal frequency division multiplexing
      Wireless networks
      Channel impairments
      Data rates
      Karhunen Loeve (KL) orthogonal expansion
      Multiple input multiple output (MIMO) systems
      Signal superposition
      Channel estimation
      Permalink
      http://hdl.handle.net/11693/27149
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2006.1659784
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      • Department of Electrical and Electronics Engineering 3597
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