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IJSTR >> Volume 8 - Issue 10, October 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Review Paper Of Non-Blind & Blind Adaptive Techniques

[Full Text]

 

AUTHOR(S)

Jaswant, Sanjeev Kumar Dhull

 

KEYWORDS

Adaptive, Blind, CMA, Convergence, LMS, MMA, QAM, RLS, Techniques.

 

ABSTRACT

In this paper, Non-Blind & Blind Adaptive Techniques have been investigated. All the results have been observed for Quadrature Amplitude Modulation (QAM). 4-QAM reception has been demonstrated in Additive White Gaussian Noise (AWGN). Convergence rate of different techniques with 4-QAM, 16-QAM & 64-QAM has been depicted. This paper provides comprehensive evaluation of widely used Non-Blind & Blind adaptive techniques.

 

REFERENCES

[1] B. Widrow and M.E. Hoff, Jr., “Adaptive switching circuits,” in Proc. IRE WESCON Conf. Rec., part 4, pp. 96–104, 1960.
[2] Hayes and H. Monson, “Recursive Least Squares,” Statistical Digital Signal Processing & Modeling, Wiley, pp. 541-565, 1996.
[3] D. N. Godard, “Self-recovering equalization and carrier tracking in two dimensional data communication system,” IEEE Trans. Comm., vol. COM-28, no. 11, pp. 1867–1875, Nov., 1980.
[4] G. Proakis, “Digital Communications,” 5th Ed., New York, NY, McGraw-Hill, 2005.
[5] S. Haykin, “Adaptive Filter Theory,” Pearson Education India, 4th Ed.,India, 2007.
[6] J.R. Treichler, M.G. Larimore and J.C. Harp, “Practical Blind Demodulators for High- order QAM signals," Proceedings of the IEEE special issue on Blind System Identification and Estimation, vol. 86, pp. 1907-1926, Oct., 1998.
[7] Sharma, Prachi, Piush Gupta, and Pradeep Kumar Singh, "Performance Comparison of ZF, LMS and RLS Algorithms for Linear Adaptive Equalizer," International Journal of Advanced Computer Science and Applications 2, no. 3, 2016.
[8] Arivukkarasu, S., and R. Malar, "Multi Modulus Blind Equalizations for Quadrature Amplitude Modulation," International Journal of Innovative Research in Computer and Communication Engineering 3, no. 3, pp. 2301-2305, March, 2015.
[9] Shafayat Abrar and Roy A. Axford Jr.,”Sliced Multi Modulus Algorithm,” ETRI Journal, vol. 27, no.3, June, 2005.
[10] Zhang, Haijun, Yang Shi, and A. Saadat Mehr, "Robust equalisation for inter symbol interference communication channels," Signal Processing, IET 6, no. 2, pp: 73-78, 2012.
[11] O. Dabeer and E. Masry, “Convergence Analysis of the Constant Modulus Algorithm,” IEEE Trans. Inform. Theory, vol. 49, no. 6, pp. 1447-1464, June, 2003.
[12] Y. Li and Z. Ding, “Global convergence of fractionally spaced Godard (CMA) adaptive equalizers,” IEEE Trans. Signal Process., vol. 44, no. 4, pp. 818–826, April, 1996.
[13] Junwen Zhang, Jiajun, Nan Chi, Ze Dong, Jianguo Yu, Xinying Li, Li Tao, and Yufeng Shao,” Multi modulus Blind Equalizations Of QDB spectrum QPSK Digital Signal Processing,” Journal of Light wave technology, vol. 31, no.7, April, 2013.
[14] Vignesh Ranganathan, K.A.Narayanan kutty, “ADMM Based LMS Algorithm For Constant Modulus Signals In Adaptive Beamforming,” IEEE Trans. on Signal Processing, 2017.
[15] Shinu Soni and Ankit Agarwal, “Analysis and Synthesis of Adaptive Equalization Techniques under various Modulation Techniques,” International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE), pp. 102-106, 2015.