Commenced in January 2007
Paper Count: 30379
A Symbol by Symbol Clustering Based Blind Equalizer
Authors: Kristina Georgoulakis
Abstract:A new blind symbol by symbol equalizer is proposed. The operation of the proposed equalizer is based on the geometric properties of the two dimensional data constellation. An unsupervised clustering technique is used to locate the clusters formed by the received data. The symmetric properties of the clusters labels are subsequently utilized in order to label the clusters. Following this step, the received data are compared to clusters and decisions are made on a symbol by symbol basis, by assigning to each data the label of the nearest cluster. The operation of the equalizer is investigated both in linear and nonlinear channels. The performance of the proposed equalizer is compared to the performance of a CMAbased blind equalizer.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1070379Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1089
 J. G. Proakis, Digital Communications. McGraw-Hill, New York, 1983.
 Y. J. Jeng, C. C. Yeh, "Cluster Based Blind Nonlinear - Channel Estimation," IEEE Trans. Signal Processing, vol. 45, no. 5, pp. 1161- 1172, May 1997.
 Y. Kopsinis, S. Theodoridis, "An efficient low complexity technique for MLSE equalisers for linear and nonlinear channels," IEEE Trans. Signal Processing, vol. 51, no. 12, pp. 3236 - 3248, Dec. 2003.
 K. Georgoulakis, S. Theodoridis, "Blind and semi-blind equalization using hidden Markov models and clustering techniques," Signal Processing, vol. 80, pp. 1795 - 1805, 2000.
 G. J. Gibson, S. Siu, C. F. N. Cowan, "The Application of nonlinear structures to the reconstruction of binary signals," IEEE Trans. Signal Processing, vol. 39, no. 8, pp. 1877 - 1884, Aug. 1991.
 K. I. Diamadaras, "Blind channel identification based on the geometry of the received signal constellation," IEEE Trans. Signal Processing, vol. 50, no. 5, pp. 1133-1143, May 2002.
 S. Theodorids, K. Koutroumbas, Pattern Recognition. Academic Press, 1998.
 T. M. Martinetz, S. G. Bekovich, K. J. Schulten, "Neural-gas network for vector quantization and its application time-series prediction," IEEE Trans. Neural Networks, vol. 4, pp. 558 - 569, July 1993.
 S. Chen, G. J. Gibson, C. F. N. Cowan, P. M. Grant, "Adaptive equalization of finite non-linear channels using multilayer perceptrons," Signal Processing, vol. 20, pp. 107 - 119, 1990.
 N. Sheshadri, "Joint data and channel estimation using blind trellis search techniques," IEEE Trans. Communications, vol. 42, no. 2/3/4, pp. 1000 - 1011, 1994.
 D. N. Godard, "Self recovering equalization and carrier tracking in twodimensional data communications systems," IEEE Trans. Communications, COM-28, pp. 1867 - 1875, Nov. 1980.
 X. Liu, T. Adali, "Channel equalization using partial likelihood estimation and recurrent canonical piecewise linear network," in Proc. Eusipco 1996, Trieste, Italy, Sept. 1996.