Pseudooctonary near maximum likelihood detector
DOI:
https://doi.org/10.3103/S0735272713090069Keywords:
intersymbol interference, near maximum likelihood detectorAbstract
Paper introduces two new near maximum likelihood detectors: pseudooctonary and modified pseudooctonary detectors. These two detectors are tested against pseudoquaternary near maximum likelihood detector using data transmission at 9.6 kb/s over telephone channel. Simulation results show that the performance of pseudooctonary detector is better than performance of modified pseudooctonary detector and the latter is better than pseudoquaternary detector.
References
PROAKIS, J. Digital Communications, 4th ed. New York: McGraw-Hill, 2000.
FORNEY, G.D. Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference. IEEE Trans. Inf. Theory, v.18, n.3, p.363-378, 1972. doi: http://dx.doi.org/10.1109/TIT.1972.1054829">10.1109/TIT.1972.1054829.
FORNEY JR., G.D. The Viterbi algorithm. Proc. IEEE, v.61, n.3, p.268-278, 1973. doi: http://dx.doi.org/10.1109/PROC.1973.9030">10.1109/PROC.1973.9030.
ALDOSARI, S.; ALSHEBEILI, S.A.; AL-SANIE, A.M. Effective MSE criterion for combined linear-Viterbi equalization. Proc. of IEEE Int. Conf. Communication Systems. Singapore, 2000.
ALDOSARI, S.A.; ALSHEBEILI, S.A.; AL-SANIE, A.M. Combined linear-decision feedback sequence estimation: an improved system design. Proc. of IEEE Int. Symp. Circuits and Systems. Australia, 2001, v.2, p. 261-264. doi: http://dx.doi.org/10.1109/ISCAS.2001.921057">10.1109/ISCAS.2001.921057.
BEARE, C. The choice of the desired impulse response in combined linear-Viterbi algorithm equalizers. IEEE Trans. Commun., v.26, n.8, p.1301-1307, 1978. doi: http://dx.doi.org/10.1109/TCOM.1978.1094214">10.1109/TCOM.1978.1094214.
FALCONER, D.D.; MAGEE JR., F.R. Adaptive channel memory truncation for maximum likelihood sequence estimation. Bell Sys. Tech. J., v.52, n.9, p.1541-1562, 1973.
SUNDSTROM, N.; EDFORS, O.; ODLING, P.; ERIKSSON, H.; KOSKI, T.; BORJESSON, P.O. Combined linear-Viterbi equalizer: A comparative study and a minimax design. Proc. 44th IEEE Vehicular Technology Conf., 1994, p.1263-1267. doi: http://dx.doi.org/10.1109/VETEC.1994.345297">10.1109/VETEC.1994.345297.
AL-RAWI, M.; ET AL. Computer simulation for newly designed 9.6 kb/s data transmission system over standard ADPCM. Ninth Int. Conf. on Microelectronics, Indonesia. Bandung, 1997.
AL-RAWI, M. Newly designed 9.6 kb/s data transmission system over various algorithms of ADPCM. Ph.D. Dissertation. Indonesia: Bandung Institute of Technology, 1998.
CHIEN-CHENG, T. US Patent No. 7197094, 2007.
DUEL-HALLEN, A. AND HEEGARD, C. Delayed decision-feedback sequence estimation. IEEE Trans. Commun., v.37, n.5, p.428-436, 1989. doi: http://dx.doi.org/10.1109/26.24594">10.1109/26.24594.
KAMEL, R.E. AND BAR-NESS, Y. Reduced-complexity sequence estimation using state partitioning. IEEE Trans. Commun., v.44, n.9, p.1057-1063, 1996. doi: http://dx.doi.org/10.1109/26.536909">10.1109/26.536909.
MYBURGH, C.H. AND OLIVIER, J.C. Low complexity iterative MLSE equalization of M-QAM signals in extremely long Rayleigh fading channels. IEEE EUROCON, Russia. Saint-Petersburg, 2009.
PENG, YANJIE; ZHANG, KAI; KLEIN, A.G.; HUANG, XINMING. Complexity and performance tradeoffs of near-optimal detectors for cooperative ISI channels. Proc. of IEEE Int. Conf. Military Communications, MILCOM’2010, 2010, p.1753-1758. doi: http://dx.doi.org/10.1109/MILCOM.2010.5680238">10.1109/MILCOM.2010.5680238.
EYUBOGLU, M.V. AND QURESHI, S.U.H. Reduced-state sequence estimation with set partitioning and decision feedback. IEEE Trans. Commun., v.36, n.1, p.13-20, 1988. doi: http://dx.doi.org/10.1109/26.2724">10.1109/26.2724.
STEPHEN, A. AND QUINN, L. US Patent No. 20100202507, 2010.
TAKIZAWA, K. AND KOHNO, R. Low-complexity Viterbi equalizer for MBOK DS-UWB systems. IEICE Trans. Fund. Elec., Commun. Computer Sci., v.E88-A, n.9, p.2350-2355, 2005.
TURNER-BARNES, A. AND BIBYK, S. Is hybrid combination of Viterbi detector and decision feedback equalizer feasible in electrical SerDes? Proc. of DesignCon-2010, 1–4 February, 2010, Santa Clara, California, USA. USA: Ohio State University, 2010, p.1054.
AL-RAWI, M. AND AL-RAWI, M. Detection processes for mitigating intersymbol interference. Int. Proc. Computer Sci. Inf. Technol., v.19, p.125-129, 2011.
CLARK, A.P.; HARVEY, J.D.; DRISCOLL, J.P. Near-maximum-likelihood detection processes for distorted digital signals. Radio Electron. Eng., v.48, n.6, p.301-309, 1978. doi: http://dx.doi.org/10.1049/ree.1978.0043">10.1049/ree.1978.0043.
CLARK, A.P. AND CLAYDEN, M. Pseudobinary Viterbi detector. IEE Proc. F: Commun. Radar Signal Process., v.131, n.2, p.208-218, 1984. doi: http://dx.doi.org/10.1049/ip-f-1:19840034">10.1049/ip-f-1:19840034.
CLARK, A.; ABDULLAH, S.; JAYASINGHE, S.; SUN, KEUNG. Pseudobinary and pseudoquaternary detection processes for linearly distorted multilevel QAM signals. IEEE Trans. Commun., v.33, n.7, p.639-645, 1985. doi: http://dx.doi.org/10.1109/TCOM.1985.1096351">10.1109/TCOM.1985.1096351.
CLARK, A.P. AND ABDULLAH, S.N. Near-maximum-likelihood detectors for voiceband channels. IEE Proc. F: Commun. Radar Signal Process., v.134, n.3, p.217-226, 1987. doi: http://dx.doi.org/10.1049/ip-f-1:19870047">10.1049/ip-f-1:19870047.
ABDULLAH, S.N. Improved data detection processes using retraining over telephone lines. J. Engineering, v.15, n.1, p.3336-3346, 2009.
AL-RAWI, MUHANNED ANA AL-RAWI, MUAAYED. Equalized near maximum likelihood detector. Radioelectron. Commun. Syst., v.55, n.12, p.568-571, 2012. doi: http://dx.doi.org/10.3103/S0735272712120072">10.3103/S0735272712120072. Izv. Vyssh. Uchebn. Zaved., Radioelektron., v.55, n.12, p.53-57, 2012, http://radio.kpi.ua/article/view/S0021347012120072">http://radio.kpi.ua/article/view/S0021347012120072 [in Russian].
