volume | PIER Journals

Abstract

Broadband single carrier modulated signals experience severe multipath distortion scrambling & ISI when propagating through physical medium. Correcting the distortion with channel equalization is the foremost task of the detector. Prior information about the transmitted signals in the form of channel decoder feedback can significantly enhance equalization accuracy. An algorithm that iteratively performs channel decoding and equalization with prior information is generally denoted turbo-equalizer. Turbo-Equalizer uses prior information & the principle of interference cancellation by MMSE criterion. Here we have tested Adaptive Turbo Equalization with least Mean Square Algorithm (LMS) & modified normalized LMS algorithm & Turbo-Decoding with a Log-Map. Consequently the Mean Square Error analysis, Stability analysis and convergence analysis are provided and its shown if the system is sparse, then the system will converge faster for a given total asymptotic MSE, though the choice of initialization is important. Here all the Implementation concepts have been verified in MATLAB platform and evaluation of the proposal is presented. The measurement for the performance is displayed as bit error rates (BER) in comparison to SNR of the Channel.

1. Lee, F. K. H. and P. J. Mclane, "Parallel-trellis turbo equalizers for sparse-coded transmission over SISO and MIMO sparse multipath channels," IEEE Transactions on Wireless Communications, Vol. 5, No. 12, 3568-3578, December 2006.
doi:10.1109/TWC.2006.256979 Google Scholar

2. Jordan, F. and K.-D. Kammeyer, "On the application of turbo equalizers in GSM compatible receivers," URSI International Symposium on Signals, Systems, and Electronics, 1998. ISSSE 98, 460-464, Sept. 29-Oct. 2, 1998. Google Scholar

3. Peacock, M. J. M. and I. B. Collings, "Mutual information analysis of turbo equalizers for fixed and fading channels," IEEE International Conference on Communications, 2003. ICC '03, Vol. 4, 2938-2942, May 11-15, 2003. Google Scholar

4. Trajkovic, V. and P. Rapajic, "Adaptive decision feedback turbo equalization and multiuser detection," 2004 IEEE Eighth International Symposium on Spread Spectrum Techniques and Applications, 540-544, Aug. 30-Sept. 2, 2004. Google Scholar

5. Vogelbruch, F., R. Zukunft, and S. Haar, "16-QAM turbo equalization based on minimum mean squared error linear equalization," Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002, Vol. 2, 1943-1947, Nov. 3-6, 2002. Google Scholar

6. Liu, Z., J. Wang, C. Zhao, J. Wang, and M. Jiang, "A novel turbo equalization for MIMO frequency selective fading channels," 2006 International Conference on Communications, Circuits and Systems Proceedings, Vol. 2, 1063-1067, June 25-28, 2006. Google Scholar

7. Park, J. and S. B. Gelfand, "Sparse MAP equalizers for turbo equalizations," IEEE 61st Vehicular Technology Conference, 2005, Vol. 2, 762-766, May 30-June 1, 2005. Google Scholar

8. Song, S., A. C. Singer, and K.-M. Sung, "Turbo equalization with an unknown channel," IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002. Proceedings. (ICASSP '02), Vol. 3, III-2805–III-2808, May 13-17, 2002. Google Scholar

9. Kim, J.-H. and Y.-H. You, "Pilot-free frequency tracking method for ultra-wideband receivers," Progress In Electromagnetics Research, Vol. 82, 65-75, 2008.
doi:10.2528/PIER08021301 Google Scholar

10. Lee, Y.-D., D.-H. Park, and H.-K. Song, "Improved channel estimation and MAI-robust schemes for wireless of DMA system," Progress In Electromagnetics Research, Vol. 81, 213-223, 2008.
doi:10.2528/PIER08010403 Google Scholar

11. Mishra, M. and S. Konar, "High bit rate dense dispersion managed optical communication systems with distributed amplification," Progress In Electromagnetics Research, Vol. 78, 301-320, 2008.
doi:10.2528/PIER07091305 Google Scholar

12. Tripathi, R., R. Gangwar, and N. Singh, "Reduction of crosstalk in wavelength division multiplexed fiber optic communication systems," Progress In Electromagnetics Research, Vol. 77, 367-378, 2007.
doi:10.2528/PIER07081002 Google Scholar

13. Kamitsos, I. and N. K. Uzunoglu, "Improvement of transmission properties of multimode fibers using spread spectrum technique and a rake receiver approach," Progress In Electromagnetics Research, Vol. 76, 413-425, 2007.
doi:10.2528/PIER07062006 Google Scholar

14. Tarhuni, N. G., M. Elmusrati, and T. Korhonenn, "Multi-Class Optical-CDMA network using optical power control," Progress In Electromagnetics Research, Vol. 64, 279-292, 2006.
doi:10.2528/PIER06070701 Google Scholar

15. Kundu, A. and A. Chakrabarty, "Fractionally spaced constant modulus algorithm for wireless channel equalization," Progress In Electromagnetics Research B, Vol. 4, 237-248, 2008.
doi:10.2528/PIERB08010802 Google Scholar

16. Usman, M., R. A. Abd-Alhameed, and P. S. Excell, "Design considerations of MIMO antennas for mobile phones," PIERS Online, Vol. 4, No. 1, 121-125, 2008. Google Scholar

17. Wang, W., Y. Zhang, K. Zhou, and H. Zhang, "Research on asymmetric characteristics of mobile communications system based on electromagnetic radiation," PIERS Online, Vol. 3, No. 8, 1298-1302, 2007.
doi:10.2529/PIERS070320050317 Google Scholar

18. Arnetz, B. B., T. Akerstedt, L. Hillert, A. Lowden, N. Kuster, and C. Wiholm, "The effects of 884MHz GSM wireless communication signals on self-reported symptom and sleep (EEG) — An experimental provocation study," PIERS Online, Vol. 3, No. 7, 1148-1150, 2007.
doi:10.2529/PIERS060907172142 Google Scholar

19. Wang, F., Y. Xiong, and X. Yang, "Approximate ML detection based on MMSE for MIMO systems," PIERS Online, Vol. 3, No. 4, 475-480, 2007.
doi:10.2529/PIERS070205100143 Google Scholar

20. Zhao, J., J. Zhou, N. Xie, J. Zhai, and L. Zhang, "Error analysis and compensation algorithm for digital predistortion systems," PIERS Online, Vol. 2, No. 6, 702-705, 2006.
doi:10.2529/PIERS060901232412 Google Scholar

21. Abouda, A. A., H. M. El-Sallabi, L. Vuokko, and S. G. Haggman, "Spatial smoothing effect on kronecker MIMO channel model in urban microcells," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 5, 681-696, Apr. 2007.
doi:10.1163/156939307780667265 Google Scholar

22. Li, H.-J., T.-Y. Liu, and J.-L. Leou, "Antenna measurements in the presence of multipath waves," Progress In Electromagnetics Research, Vol. 30, 157-178, 2001.
doi:10.2528/PIER00020901 Google Scholar

23. Ohta, M., Y. Mitani, and H. Ogawa, "Multi-dimensional generalization in space and time domains for Middleton's study in stochastic evaluation of correlative many EM noise processes," Progress In Electromagnetics Research, Vol. 24, 97-118, 1999.
doi:10.2528/PIER99012801 Google Scholar

24. Wang, X., P. R. P. Hoole, and E. Gunawan, "An electromagnetic-time delay method for determining the positions and velocities of mobile stations in a GSM network," Progress In Electromagnetics Research, Vol. 23, 165-186, 1999.
doi:10.2528/PIER98102603 Google Scholar

25. Kundu, A. and A. Chakrabarty, "Frequency domain NLMS algorithm for enhanced jam resistant GPS receiver," Progress In Electromagnetics Research Letters, Vol. 3, 69-78, 2008.
doi:10.2528/PIERL08013106 Google Scholar

26. Khani, H. and P. Azmi, "Performance analysis of a high data rate UWB-DTR system in dense multipath channels," Progress In Electromagnetics Research B, Vol. 5, 119-131, 2008.
doi:10.2528/PIERB08021003 Google Scholar

Mr. Anindya Kundu

Dr. Binay Sarkar

Professor Ajay Chakraborty