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ZF- and MMSE Based-Equalizer Design in IEEE 802.15.4a UWB Channel

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Recent Trends in Intelligent and Emerging Systems

Part of the book series: Signals and Communication Technology ((SCT))

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Abstract

Ultra wide band (UWB) communication systems occupy huge bandwidths with very low power spectral densities. In a high data rate UWB indoor communication system, the delay spread due to multipath propagation results in inter symbol interference (ISI) which can significantly increase the bit error rate (BER). The distortion and fading caused by the UWB channel and noise sources is removed by equalization which is a signal processing technique. In this work, IEEE 802.15.4a UWB channel model is used for both LOS and NLOS residential environment in a frequency range 2–10 GHz. QAM modulation is used to transmit large volume of data at a time. Equalization is carried out using zero forcing (ZF) and minimum mean square error estimation (MMSE) algorithms. MMSE algorithm shows better performance than the ZF algorithms by reducing BER.

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References

  1. Oestges C, Clerckx B (2007) MIMO wireless communication, 1st edn. Elsevier, Oxford

    Google Scholar 

  2. Krall C, Witrisal K, Koeppl H, Leus G, Pausini M (2005) Nonlinear equalization for frame-differential IR-UWB receivers. In: International conference on ultra-wideband, pp 576–581

    Google Scholar 

  3. Srinidhi N, Mohammed SK, Chockalingam A (2009) A reactive Tabu search based equalizer for severely delay-spread UWB MIMO-ISI channel. In: Proceedings of IEEE GLOBECOM, pp 1–6

    Google Scholar 

  4. Husain SI, Choi J (2005) Single correlator based UWB receiver implementation through channel shortening equalizer. Proceedings of Asia-Pacific conference on communications. Perth, Western Australia, pp 610–614

    Google Scholar 

  5. Chiu YJ (2009) Adaptive MMSE rake-equalizer receiver design with channel estimation for DS-UWB system. WSEAS Trans. Commun. 8:196–205

    Google Scholar 

  6. Nguyen H, Zhao Z, Zheng F, Kaiser T (2010) Preequalizer design for spatial multiplexing SIMO-UWB-TR systems. IEEE Trans. Veh. Technol. 59(8):3798–3805

    Article  Google Scholar 

  7. Hamid A, Rad M, Mietzner J, Schober R, Wong VWS (2010) Pre-equalization for pre-rake DS-UWB systems with spectral mask constraints. In: Proceedings of IEEE international conference on communications, pp 1–6

    Google Scholar 

  8. Witrisal K, Leus G, Pausini M, Krall C (2005) Channel estimation technique for STBC coded MIMO system with multiple ANN blocks. IEEE J. Sel. Areas Commun. 23(9):1851–1862

    Article  Google Scholar 

  9. Fan Z, Timothy OS, Davidson N (2004) Canonical coordinate geometry of precoder and equalizer designs for multichannel communication. In: Proceedings IEEE 5th workshop on sinal procssing advances in wireless communications, pp 401–405

    Google Scholar 

  10. Chen IY, Chin WH (2009) Channel spectral flattening in time domain equalizer design for OFDM systems. In: Proceeding of IEEE international conference on communications, pp 1–5

    Google Scholar 

  11. Mehrpouyan H (2008) Channel equalizer design based on wiener filter and least mean square algorithms. In: Proceeding of 4th international conference on communication theory, reliability, and quality of service, pp 45–51

    Google Scholar 

  12. Rappaport TS, Wireless communications-principle and practice. 2nd edn. Pearson Publication, New Jersey

    Google Scholar 

  13. Cho YS, Kim J, Kang CG (2010) MIMO-OFDM wireless communications with matlab. Wiley, Singapore

    Google Scholar 

  14. Kumar NS, Shankar KRK (2011) Bit error rate performance analysis of ZF, ML and MMSE equalizers for MIMO wireless communication receiver. Eur. J. Sci. Res. 59(4):522–532

    Google Scholar 

  15. Matiae DA, Cimini LJ (1985) Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing. IEEE Trans. Commun. 33(7):665–675

    Article  Google Scholar 

  16. Welch G, Bishop G (2006) An Introduction to the Kalman Filter. UNC-Chapel Hill, Chapel Hill

    Google Scholar 

  17. Sirewongpairat WP, Liu KJR, Ultra wideband communications. Wiley, Hoboken. Available via http://onlinelibrary.wiley.com/doi/10.1002/9780470042397.fmatter/pdf

  18. Triki M, Slock DT (2007) Multivariate LP based MMSE-ZF equalizer design consideration and application to multimicrophone dereverberation. IEEE Int. Conf. Acoust. Speech Signal Process. 1:I197–I200

    Google Scholar 

  19. Wei C, Gang YC, BiQi L (2008) A low complexity fractionally spaced equalizer design for DTTB system. In: Proceedings of 3rd IEEE conference on industrial electronics and applications, pp 1191–1194

    Google Scholar 

  20. Ghani F (2008) Adaptive block linear equalizer for block data transmission systems. Int. J. Eng. Technol. 10(5):25–29

    Google Scholar 

  21. Clark MV (1998) Adaptive frequency-domain equalization and diversity combining for broadband wireless communications. IEEE J. Sel. Areas Commun. 16(8):1385–1395

    Article  Google Scholar 

  22. Thapar HK, Sands NP, Abbott WL, Cioffi JM (1990) Spectral shaping for peak detection equalization. IEEE Trans. Magn. 26(5):2309–2311

    Article  Google Scholar 

  23. Carvalho DB, Filho SN, Searal R (1999) Design of phase equalizers via symmetry of the impulse response. In: Proceedings of the 1999 IEEE international symposium on circuits and systems, pp 37–40

    Google Scholar 

  24. Shin DK, Hwang SJ, Sunwoo MH (2000) Design of an DFE equalizer ASIC chip using the MMA algorithm. In: Proceedings of IEEE workshop on signal processing systems, pp 200–209

    Google Scholar 

  25. Ma YH, Chen LF, Lee CY (2006) A channel equalizer design for COFDM system. In: Proceedings of international symposium on VLSI design, automation and test, pp 1–4

    Google Scholar 

  26. Spinnler B (2010) Equalizer design and complexity for digital coherent receivers. IEEE J. Sel. Top. Quantum Electron. 16(5):1180–1192

    Article  Google Scholar 

  27. Comninakis C, Fragouli C, Sayed AH, Wesel RD (1999) Channel estimation and equalization in fading. Conference record of the thirty-third Asilomar conference on signals, systems, and computers, vol 2, pp 1159–1163

    Google Scholar 

  28. Najafizadeh L, Tellambura C (2006) BER analysis of arbitrary QAM for MRC diversity with imperfect channel estimation in generalized Rician fading channels. IEEE Trans. Veh. Technol. 55(4):1239–1247

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, India

    Tapashi Thakuria

  2. Department of Electronics and Communication Technology, Gauhati University, Guwahati, 781014, Assam, India

    Kandarpa Kumar Sarma

Authors
  1. Tapashi Thakuria
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  2. Kandarpa Kumar Sarma
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Correspondence to Tapashi Thakuria .

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Editors and Affiliations

  1. Department of Electronics and Communication Technology, Gauhati University, Guwahati, Assam, India

    Kandarpa Kumar Sarma

  2. Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, India

    Manash Pratim Sarma

  3. Department of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, India

    Mousmita Sarma

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Thakuria, T., Sarma, K.K. (2015). ZF- and MMSE Based-Equalizer Design in IEEE 802.15.4a UWB Channel. In: Sarma, K., Sarma, M., Sarma, M. (eds) Recent Trends in Intelligent and Emerging Systems. Signals and Communication Technology. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2407-5_5

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  • DOI: https://doi.org/10.1007/978-81-322-2407-5_5

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2406-8

  • Online ISBN: 978-81-322-2407-5

  • eBook Packages: EngineeringEngineering (R0)

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