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Reseach Article

Performance Comparison of HMM Discrete Channel Modeling in CDMA Links

by Debjani Mitra, Rakesh Ranjan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 9
Year of Publication: 2010
Authors: Debjani Mitra, Rakesh Ranjan
10.5120/195-334

Debjani Mitra, Rakesh Ranjan . Performance Comparison of HMM Discrete Channel Modeling in CDMA Links. International Journal of Computer Applications. 1, 9 ( February 2010), 72-78. DOI=10.5120/195-334

@article{ 10.5120/195-334,
author = { Debjani Mitra, Rakesh Ranjan },
title = { Performance Comparison of HMM Discrete Channel Modeling in CDMA Links },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 9 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 72-78 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number9/195-334/ },
doi = { 10.5120/195-334 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:45:33.577308+05:30
%A Debjani Mitra
%A Rakesh Ranjan
%T Performance Comparison of HMM Discrete Channel Modeling in CDMA Links
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 9
%P 72-78
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The performance comparison of two Markov models namely the Baum Welch Algorithm based HMM and Semi Hidden Markov Model has been evaluated for a DS-CDMA link in this work. The simulation includes the effects of AWGN, Multipath and Multiple Access Interference. Validation includes a comparison of the run-length statistic for the original and regenerated error sequence from estimated models. The SHMM approach is seen to be capable of developing a more accurate model as compared to the BWA. The length of number of symbols processed at a time does not affect the accuracy in both the methods.

References
  1. Rappaport, T. S. 2004. Wireless Communications. Second Edition, 2004, 472-487
  2. Khan, M. R. H. et al. 2006. "Comparative Analysis of CDMA based wireless Communication under Radio Propagation Environment", Proceedings of IEEE 1st International Conference on Wireless Broadband and Ultra Wideband Communications (AusWireless'06), Sydney, Australia ,March 13-16,2006, 116-120.
  3. Balaban, P., Li, D., and Turin, W. 1998. "Performance evaluation of the reverse link of a CDMA cellular system using simulation," in Proc. IEEE GLOBECOM'98, 1998, 231-236.
  4. Balaban, P., Li, D., and Turin, W. 1999. "Performance Evaluation of the Forward Link of a CDMA Cellular System", IEEE Miltary Communication Conference (MILCOM), Vol. 1, 1999, 162-166.
  5. Tranter W.H., et al. 2004. Principles of Communication Systems Simulation with Wireless Applications, New Jersey, Prentice Hall, Professional Technical Reference, 529-718.
  6. Gilbert, E. N. 1960. "Capacity of a Burst-Noise Channel", Bell System Technical Journal, Vol. 39, September 1960, 1253-1266.
  7. Fritchman, B. D. 1967. ''A Binary Characterization Using Partitioned Markov Chains,'' IEEE Transactions on Information Theory, Vol. IT-13, No. 2, April 1967, 221-227.
  8. Arauz, J., Krishnamurthy, P. 2002. "A study of different partitioning schemes in first order Markovian models for Rayleigh fading channels", The 5th IEEE International Symposium on Wireless Personal Multimedia Communications, 2002, 277-281.
  9. Rabiner, L. R. 1989. "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition". Proc. IEEE 77 (1989), 257-285.
  10. Sadeghi, P., et al. 2008. "Finite- State Markov Modeling of Fading Channels", IEEE Signal Processing Magazine, September 2008, 57-80.
  11. Sivaprakasam, S., Sharnmugan, K. S. 1995. "An Equivalent Markov Model for Burst Errors in Digital Channels", IEEE Transactions on Communications, Vol. 43, No. 2/3/4, February/March/April 1995, 1347-1351.
  12. Turin, W., van Nobelen, R. 1998. "Hidden Markov modeling of flat fading channels", IEEE J. Selected Areas in Communications 16, 1998, 1809-1817.
  13. Beverly, A., Shanmugan, K. S. 1998. "Hidden Markov models for burst errors in GSM and DECT channels", Proceedings of the IEEE Global Telecommunications Conference (Globe-com'98), Sydney, Australia, 1998, 3692-3698.
  14. Kuczynski, P. et al. 2004 "Hidden Markov Modeling of Error Patterns and Soft Outputs for Simulation of Wideband CDMA Transmission Systems", Int. J. Electron. Commun. (AEU), (2004), 1-12.
  15. Zhi-Jin, Z. et al. 2007. "Discrete Channel .Modeling based on genetic algorithm and simulated annealing for training hidden Markov model", Chinese Physics, Vol 16 No 6, June 2007, 1619-1623.
Index Terms

Computer Science
Information Sciences

Keywords

Discrete Channel Model CDMA Hidden Markov Model Baum Welch Algorithm Run length vector Log likelihood