LOW COMPLEXITY EQUALIZATION FOR OFDM IN DOUBLY SELECTIVE CHANNELS

LOW COMPLEXITY EQUALIZATION FOR OFDM IN DOUBLY SELECTIVE CHANNELS Alptekin PAMUK M.S. in Electrical and Electronics Engineering Supervisor: Prof. Dr. Erdal ARIKAN May 2009 In current standards Orthogonal Frequency Division Multiplex -OFDMis widely used for its high resistance to multi-path environments and high spectral efficiency. However since the transmission duration is longer, it is affected from time variations of the channel more than single carrier systems. Orthogonality of sub-carriers are lost within an OFDM symbol and intercarrier interference(ICI) occurs as a result of time variation of the channel. Channel estimation and equalization become problematic, because the classical structures like MMSE require very complex operations. This thesis studies the channel equalization problem, as separate from the channel estimation problem. The thesis assumes that the channel coefficients are perfectly known and focuses on the estimation of data transmitted on each OFDM carrier. First, a survey of existing algorithms on channel equalization is given and simulations are provided to compare them in terms of complexity and performance under an OFDM system scenario that is consistent with the present WiMAX system parameters and operating conditions. As a novel contribution, the thesis proposes two new equalization methods by amending existing algorithms and shows that these modified algorithms improve the state-of-the-art in channel equalization in terms of complexity and

[1]  Ramjee Prasad,et al.  OFDM for Wireless Multimedia Communications , 1999 .

[2]  Burton R. Saltzberg,et al.  Multi-Carrier Digital Communications: Theory and Applications of Ofdm , 1999 .

[3]  G. Giannakis Filterbanks for blind channel identification and equalization , 1997, IEEE Signal Processing Letters.

[4]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[5]  Ali H. Sayed,et al.  The finite-length multi-input multi-output MMSE-DFE , 2000, IEEE Trans. Signal Process..

[6]  Georgios B. Giannakis,et al.  Bounding performance and suppressing intercarrier interference in wireless mobile OFDM , 2003, IEEE Trans. Commun..

[7]  S. Weinstein,et al.  Data Transmission by Frequency-Division Multiplexing Using the Discrete Fourier Transform , 1971 .

[8]  Xiaojing Huang,et al.  The simulation of independent Rayleigh faders , 2002, IEEE Trans. Commun..

[9]  Geert Leus,et al.  Simple equalization of time-varying channels for OFDM , 2005, IEEE Communications Letters.

[10]  Louay M. A. Jalloul,et al.  1 Project IEEE 802.16 Broadband Wireless Access Working Group Title IEEE 802.16m Evaluation Methodology Document (EMD) Date Submitted , 2008 .

[11]  George L. Turin,et al.  A statistical model of urban multipath propagation , 1972 .

[12]  Volkan Kumbasar,et al.  ICI reduction in OFDM systems by using improved sinc power pulse , 2007, Digit. Signal Process..

[13]  Ramjee Prasad,et al.  Towards the Wireless Information Society, Vol. 1: Systems, Services, and Applications (Artech House Universal Personal Communications) , 2006 .

[14]  Ramjee Prasad,et al.  OFDM for Wireless Communications Systems , 2004 .

[15]  Ahmad Bahai,et al.  Multi-carrier digital communications , 1999 .

[16]  Geert Leus,et al.  Low-Complexity Banded Equalizers for OFDM Systems in Doppler Spread Channels , 2006, EURASIP J. Adv. Signal Process..

[17]  Yiyan Wu,et al.  COFDM: an overview , 1995, IEEE Trans. Broadcast..

[18]  L. Scharf,et al.  Statistical Signal Processing: Detection, Estimation, and Time Series Analysis , 1991 .

[19]  Sven-Gustav Häggman,et al.  Intercarrier interference self-cancellation scheme for OFDM mobile communication systems , 2001, IEEE Trans. Commun..

[20]  P. Bello Characterization of Randomly Time-Variant Linear Channels , 1963 .

[21]  Yang-Seok Choi,et al.  On channel estimation and detection for multicarrier signals in fast and selective Rayleigh fading channels , 2001, IEEE Trans. Commun..

[22]  Philip Schniter,et al.  Low-complexity equalization of OFDM in doubly selective channels , 2004, IEEE Transactions on Signal Processing.