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System Swarm for Equalization of Nonlinear Channels

Padma Charan Sahu, Sunita Panda, Ratnakar Dash

Abstract


In order to improve the performance of digital communication system, here the author proposes equalization of nonlinear channels by using ANN trained with PSO. Broad recreations introduced during this paper shows that, when contrasted with other ANN based equalizers additionally as Neuro-fuzzy equalizers the proposed equalizer performs better by and large condition

 

Keywords: ANN, PSO, channel equalization


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References


Preparata F. Holographic dispersal and recovery of Information. IEEE Trans. Inform. Theory. Sept., 1989, 35(5), 112-1124p.

Gibson G.J., Siu S., Cowan C.F.N. The application of nonlinear structures to the reconstruction of binary signals. IEEE Trans. signal processing. Aug. 1991, 39(8), 1877-1884p.

Voulgaris P.G., Hadjicostics C.N. Optimal processing strategies for perfect reconstruction of binary signals under power-constrained transmission. Proc. IEEE confernec on decision and control, Atlantis, Bahamas. Dec. 2004, 4, 4040-4045p.

Touri R., Voulgaris P.G., Hadjicostis C.N. Time varying power limited preprocessing for perfect reconstruction of binary signals. Proc. of the 2006 American control conference, Minneapdis, USA. June 2006, 5722-5727p.

Patra J.C., Pal R.N., Baliarsingh R., Panda G. Nonlinear channel equalization for QAM signal constellation using Artificial Neural Network. IEEE Trans. on systems, man and cybernetics-Part B: cybetnetics. April 1999, 29(2).

Patra J.C., Wei Beng Poh, Chaudhari N.S., Das A. Nonlinear channel equalization with QAM signal using Chebyshev artificial neural network. Proc. of International joint conference on neural networks, Montreal, Canada. August 2005, 3214-3219p.

Panda G., Majhi B., Mohanty D., et al. Development of Novel Digital Channel Equalizers using Genetic Algorithms. Proc. of National Conference on Communication (NCC-2006), IIT Delhi. January 2006, 27-29, 117-121p.

Zhao H. et al. Pipelined functional link artificial recurrent neural network with the decision feedback structure for nonlinear channel equalization. Information Sciences. 2011, 181, 3677–3692p.

Zhao H. et al. An adaptive decision feedback equalizer based on the combination of the FIR and FLNN. Digital Signal Processing. 2011, 21, 679–689p.

Panigrahi S.P. et al. Hybrid ANN reducing training time requirements and decision delay for equalization in presence of co-channel interference. Applied Soft Computing. 2008, 8, 1536–1538p.


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