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Literature Survey in Blind Channel Estimation for MIMO-OFDM

P.M. Pranisha, Y.R. Packia Dhas

Abstract


Our chief goal in this paper is to produce an analysis on blind channel estimation method based on the various approach. We address the problem of estimating a distorted signal in the presence of noise in the case that very little prior knowledge is available regarding the nature of the signal, the distortion, or the noise. This paper describes a survey on various techniques for blind channel estimation and issues related to individual operations. The proposed channel estimation approaches employs computationally simple cross-correlation operations and yields the channel up to a diagonal ambiguity. It does not require channel length information and is not sensitive to additive stationary noise. We outline basic ideas behind several developments, the assumptions and identifiably conditions required by these approaches, and the algorithm characteristics. We refer to the problem as “blind estimation without priors,” where the term “blind” captures the notion that signal estimates are obtained blindly with regard to knowledge of the distortion and interference. The proposed paper describes comparison between approaches and methods to estimate the a novel blind channel estimation algorithm for a multiple input multiple output (MIMO).

Keywords


Analysis, Blind, Estimation, distorted, interference, MIMO

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References


I. Telatar, “Capacity of multiple antenna Gaussian channels,” Eur. Trans. Telecomm., Vol. 10, No., pp.585-595, Nov./Dec. 1999.

G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Personal Commun., Vol. 6, pp. 311-335, 1998.

Tong L., et al, “Blind Identification and Equalization based on Second-Order Statistics: A Time Domain Approach,” IEEE Transaction on Information Theory, Vol.40, No.2, pp.340-349, March 1994.

Tong L., Perreau S., “ Multichannel Blind Identification: From Subspace to Maximum Likelihood Methods”, Pro ceeding of the IEEE, Vol.86, No. 10, pp.1951-1968, October 1998.

Y. Zeng and T. Ng, “A semi blind channel estimation method for multiuser multiantenna OFDM systems,” IEEE Trans. on Signal Processing, vol. 52, no. 5, pp. 1419-1429, May 2004.

S. Zhou and G. B. Giannakis, “Finite alphabet based channel estimation for OFDM and related multicarrier systems,” IEEE Trans. on Signal Processing, vol. 49, no. 8, pp. 1402-1414, Aug. 2001.

B. Muquet, M. de Courville, and P. Duhamel, “Subspace based blind and semi blind channel estimation for OFDM systems,” IEEE Trans. on Signal Processing, vol. 50, no. 7, pp. 3065-3073, July 2002.

A. P. Petropulu, R. Zhang and R. Lin, “Blind OFDM Channel Estimation through Simple Linear Precoding,” IEEE Trans.on Wireless Communications,vol. 3, no. 2, pp. 647-655, Mar. 2004.

S. M. Alamouti, “A simple transmit diversity technique for wireless communications,” IEEE J. Select. Areas Commun.,vol. 16, pp. 1451-1458, Oct. 1998.

Tong L., Perreau S., “ Multichannel Blind Identification: From Subspace to Maximum Likelihood Methods”, Pro ceeding of the IEEE, Vol.86, No. 10, pp.1951-1968, October 1998.

A. Jagannatham and B. D. Rao, “A semi-blind technique for MIMO channel matrix estimation”, Proc. Of IEEE 4 th Workshop on singal processing in Wireless Communication (SPAWC 2003), #582, Rome, Italy, 2003

A. Jagannatham and B. D. Rao, “Constrained ML algorithms for semi-blind MIMO channel estimation”, Proc. of IEEE Communication Society Globecom, 2004

Z. Liu, G. B. Giannakis, S. Barbarossa, and A. Scaglione, “Transmit-antennae space-time block coding for generalized OFDM in the presence of unknown multipath,” IEEE J. Sel. Areas Commun., vol. 19, pp. 1352-1364, July 2001

T.-H. Chang, W.-K. Ma, and C.-Y. Chi, “Semiblind OSTBC-OFDM detection in block fading channels,”Proc. ICASSP‟07 , April 2007, Honolulu, Hawaii, USA, vol. 3, pp. 309-312.

T. Zemen and C. F. Mecklenbr¨auker, “Time-variant channel estimation using discrete prolate spheroidal sequences,” IEEE Trans. Signal Process. , vol. 53, pp. 3597-3607, Sep. 2005.

D.C. Popescu and C. Rose, “Interference avoidance and multiuser MIMO systems,” Int. J. Satell. Commun. Network. vol. 21 pp. 143-161, Oct. 2003.

H. El Gamal, A.R. Hammons, Y. Liu, M. P. Fitz, and O. Takeshita, “On the design of space time and space frequency codes for MIMO frequency selective fading channels,” IEEE Trans. on Information Theory, vol. 49, no. 9, pp. 2277-2292, Sep. 2003.

Norooz Motamedi, “Blind Channel Estimation using Subspace and LMMSE for SIMO OFDM Systems: A Review,” IEEE Trans. on Information Theory, vol. 49, no. 9, pp. 2277-2292, Sep. 2003.


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