New Joint Blind Channel Estimation and Data Detection Through a Time Varying MIMO Channel


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


A novel approach for joint blind channel estimation and data recovery in multiple-input multiple-output (MIMO) systems is presented. Using a Kalman Filter (KF) initialized by a proposed new space time block as a virtual training sequence in order to refine and track a channel variation. By cooperation between KF and Maximum Likelihood Detector (MLD), data symbols are recuperated. The performance of the proposed approach is assessed by means of Monte Carlo simulations and compared to that of other approaches.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


MIMO Channel; Kalman Filter; Blind Estimation; Maximum Likelihood Detector; STBC

Full Text:

PDF


References


G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas,” Wirel. Pers.Commun., vol. 6, no. 3, pp. 311–335, Mar. 1998.

A. El Naggary, S. El-Khamy, O.Abdl-Alim, LTE-Advanced Downlink Performance Using MIMO Antennas and Link Adaptation: a Case Study, (2012) International Journal on Communications, Antenna and Propagation (IRECAP), 2 (2), pp. 147-152.

I. E. Telatar, ‘‘Capacity of multi-antenna Gaussian channels,’’ European Trans. Telecomm., Vol. 10, No. 6, pp. 585-595, Nov.-Dec. 1999.

Q. Sun, D. C. Cox, H. C. Huang, and A. Lozano, ‘‘Estimation of continuous flat fading MIMO channels,’’ IEEE Trans. Wireless Commun., Vol. 1, No. 4, pp. 549-553, Oct. 2002.

M. Biguesh, and A. B. Gershman, ‘‘Training-based MIMO channel estimation: A study of estimator tradeoffs and optimal training signals,’’ IEEE Trans. Signal Process., Vol. 54, No. 3, pp. 884-893 , Mar. 2006.

C. Komninakis, C. Fragouli, A. H. Sayed, and R. D. Wesel, “Multi-input multi-output fading channel tracking and equalization using Kalman estimation,” IEEE Trans. Signal Process., vol. 50, no. 5, pp. 1065–1076, May 2002.

C. Komninakis, C. Fragouli, A. H. Sayed, and R. D. Wesel, “Adaptive multi-input multi-output fading channel equalization using Kalman estimation,” in Proc. ICC, New Orleans, LA, Jun. 18–22, 2000, vol. 3, pp. 1655–1659.

T. Acar, Y. Yu, and A. P. Petropulu, “Blind MIMO system estimation based on PARAFAC decomposition of higher order output tensors,” IEEE Trans. Signal Process., Vol. 54, No. 11, pp. 4156-4168, Nov. 2006.

C.-Y. Chi and C.-H. Chen, “Cumulant based inverse filter criteria for MIMO blind deconvolution: Properties, algorithms, and application to DS/CDMA systems in multipath,” IEEE Trans. Signal Process., Vol. 49, No. 7, pp. 1282-1299, Jul. 2001.

V. Zarzoso, and A. K. Nandi, “Exploiting non-Gaussianity in blind identification and equalization of MIMO FIR channels,” IEE Proc. in Vision, Image and Signal Process., Vol. 151, No. 1, pp. 69-75, Feb 2004.

J G. Proakis M. Salehi, Digital Communications 5th edition; McGrow-Hill, New York,2008.

R. J. Piechocki, A. R. Nix, J. P. McGeehan, and S. M. D. Armour, “Joint Blind and Semi-Blind Detection and Channel Estimation for Space-Time Trellis Coded Modulation Over Fast Faded Channels,” IEE Proc.Commun., vol. 150, no. 6, pp. 419–426, Dec. 2003.

B. Balakumar, S. Shahbazpanahi, and T. Kirubarajan, “Joint MIMO Channel Tracking and Symbol Decoding Using Kalman Filtering,” IEEE Trans. Signal Process., vol. 55, no. 12, pp. 5873–5879, Dec. 2007.

M. C. Jeruchim, P. Balaban, and K. S. Shanmugan, Simulation of Communication Systems 2nd ed ( Kluwer Academic, 2000).

B. Chen, A. P. Petropulu, “Frequency domain blind MIMO system identification based on second and higher order statistics,” IEEE Trans. Signal Process., Vol. 49, No. 8, pp. 1677-1688, Aug. 2001.

S.DAUMONT, “Techniques de démodulation aveugle en interception de signaux MIMO ” Thèse soutenue à Supélec-Rennes, 2009.

Murilo B. Loiola and Renato R. Lopes, “A State-Space Approach To Semi-Blind Signal Detection In Fast Frequency-Selective Fading Mimo Channels”, IEEE SPAWC., pp. 276–280, Sep. 2008.

S. M. Alamouti, “A Simple Transmit Diversity Technique for Wireless Communications,” IEEE J. Sel. Areas Commun., vol. 16, no. 10, pp. 1451–1458, Oct. 1998

S. Alireza Banani, Rodney G. Vaughan, “ICA with Particle Filtering for Blind Channel Estimation in High Data-Rate MIMO Systems”, IEEE WCNC., pp. 1–6, Apr. 2010.


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize