Skip to main content

Multipath and NLOS Mitigation Algorithms

  • Chapter
  • First Online:
Geolocation Techniques

Abstract

In Chap. 2, the multipath and NLOS problems were introduced and the degrading impact on distance estimation was highlighted through channel measurements and modeling. In this chapter, we will first introduce popular multipath mitigation techniques and then highlight the major approaches to dealing with the NLOS problem. For the multipath problem two mitigation techniques will be introduced: Super-resolution algorithms and Ultra Wideband (UWB) technology. The former is a spectral estimation technique that improves the TOA estimation through enhancing the time-domain resolution. The latter approach is an emerging technology that transmits very narrow pulses in time (very large bandwidths) and thus has the benefit of improved time-domain resolution which results in higher TOA estimation accuracy. The second part of the chapter is dedicated to NLOS identification and mitigation algorithms. An important pre-requisite to NLOS mitigation is channel identification. The effectiveness of the mitigation algorithms will rely mainly on the accuracy of NLOS channel identification. Thus, we will first introduce popular approaches to NLOS identification and then conclude the chapter with NLOS mitigation algorithms.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • B. Alavi, K. Pahlavan, Studying the Effect of Bandwidth on Performance of UWB Positioning Systems. in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), vol. 2, Apr 2006, pp. 884–889

    Google Scholar 

  • S. Al-Jazzar, J. Caffery Jr., New Algorithms for NLOS Identification. in Proceedings of IST Summit Conference, Dresden, Germany, June 2003

    Google Scholar 

  • N. Alsindi, Indoor Cooperative Localization for Ultra Wideband Wireless Sensor Networks, Ph.D. Dissertation, Worcester Polytechnic Institute, Worcester, MA, USA, Apr 2008

    Google Scholar 

  • N. Alsindi, M. Heidari, K. Pahlavan, Blockage Identification in Indoor UWB Ranging Using Multi Band ODFM Signals. in Proceedings of IEEE Wireless Communications and Networking Conference, Las Vegas, NV, Apr 2008

    Google Scholar 

  • N. Alsindi, C. Duan, J. Zhang, T. Tsuboi, NLOS Channel Identification and Mitigation in UWB TOA-Based Wireless Sensor Networks. in Proceedings of 6th Workshop on Positioning, Navigation and Communication (WPNC), Hannover, Germany, Mar 2009, pp. 59–66

    Google Scholar 

  • C. R. Berger, Z. Tian, P. Willett, S. Zhou, Precise Timing for Multiband OFDM in a UWB System. in Proceedings of IEEE International Conference on Ultra-Wideband (ICUWB), Waltham, MA, Sept 2006, pp. 269–274

    Google Scholar 

  • J. Borras, P. Hatrack, N. B. Mandayam, Decision Theoretic Framework for NLOS Identification. 48th IEEE Vehicular Technology Conference, vol. 2, Ottawa, Canada, 1998, pp. 1583–1587

    Google Scholar 

  • P.C. Chen, A Non-Line-of-Sight Error Mitigation Algorithm in Location Estimation. in Proceedings of IEEE International Conference on Wireless Communication Networking (WCNC), vol. 1, New Orleans, LA, Sept 1999, pp. 316–320

    Google Scholar 

  • K.W. Cheung, H.C. So, W.K. Ma, Y.T. Chan, Least square algorithms for time-of-arrival-based mobile location. IEEE Trans. Sig. Process. 52(4), 1121–1128 (2004)

    Article  MathSciNet  Google Scholar 

  • A. G. Dabak, A. Batra, J. Balakrishnan, Ranging in Muti-Band OFDM Communications Systems. US Patent, US 2005/0050130 A1, 3 Mar 2005

    Google Scholar 

  • D. Dardari, A. Conti, U. Ferner, A. Giorgetti, M.Z. Win, Ranging with ultrawide bandwidth signals in multipath environments. IEEE Proc. 97(2), 404–426 (2009)

    Article  Google Scholar 

  • B.H. Fleury, M. Tschudin, R. Heddergou, D. Dahlhaus, K.I. Pedersen, Channel parameters estimation in mobile radio environments using SAGE algorithm. IEEE J. Select. Areas Commun. 17(3), 434–449 (1999)

    Article  Google Scholar 

  • R.J. Fontana, Recent system applications of short-pulse ultra-wideband (UWB) technology. IEEE Trans. Microwave Theor. Tech. 52(9), 2087–2104 (2004)

    Article  MathSciNet  Google Scholar 

  • M. Ghavami, L.B. Michael, R. Kohno, Ultra Wideband Signals and Systems in Communication Engineering, 2nd edn. (Wiley, New York, 2007)

    Google Scholar 

  • I. Guvenc, Z. Sahinoglu, P.V. Orlik, TOA estimation for IR-UWB systems with different transceiver types. IEEE Trans. Micro. Theor. Tech. 54(4), 1876 (2006)

    Google Scholar 

  • I. Guvenc, C.-C. Chong, F. Watanabe, NLOS Identification and Mitigation for UWB Localization Systems. in Proceedings of IEEE Wireless Communications and Networking Conference, Mar 2007

    Google Scholar 

  • I. Guvenc, C.-C. Chong, A survey on TOA based wireless localization and NLOS mitigation techniques. IEEE Commun. Surv. Tutorials 11(3), 3rd Quarter 2009

    Google Scholar 

  • H. Hashemi, The indoor radio propagation channel. Proc. IEEE 81(7), 943–968 (1993)

    Article  Google Scholar 

  • M. Heidari, N. Alsindi, K. Pahlavan, UDP identification and error mitigation in TOA-based indoor localization systems using neural network architecture. IEEE Trans. Wirel. Commun. 8(7), 3597–3607 (2009)

    Google Scholar 

  • M.G.M. Hussain, Ultra-wideband impulse radar—an overview of the principles. IEEE Aerosp. Electron. Syst. Mag. 13(9), 9–14 (1998)

    Article  Google Scholar 

  • S.M. Kay, Fundamentals of Signal Processing Volume II: Detection Theory (Prentice Hall, Englewood Cliffs, 1998)

    Google Scholar 

  • E.G. Larsson, Cramer-Rao bound analysis of distributed positioning in sensor networks. IEEE Sig. Process. Lett. 11(3), 334–337 (2004)

    Article  Google Scholar 

  • Y. Lee, R.A. Scholtz, Ranging in a dense multipath environment using an UWB radio link. IEEE J. Select. Areas Commun. 20(9), 1677–1683 (2002)

    Article  Google Scholar 

  • X. Li, K. Pahlavan, Super-resolution TOA estimation with diversity for indoor geolocation. IEEE Trans. Wireless Comm. 3(1), 224–234 (2004)

    Article  Google Scholar 

  • D. Manolakis, V. Ingle, S. Kogon, Statistical and Adaptive Signal Processing (McGraw Hill Co. Inc., New York, 2000)

    Google Scholar 

  • S. Marano, W.M. Gifford, H. Wymeersch, M.Z. Win, NLOS identification and mitigation for localization based on UWB experimental data. IEEE J. Sel. Areas Commun. 28(7), 1026–1035 2010

    Google Scholar 

  • W. Pam Siriwongpairat, K.J. Ray Liu, Ultra-wideband Communications Systems—A Multiband OFDM Approach (Wiley, New York, 2008)

    Google Scholar 

  • E. Saberinia, A.H. Tewfik, Enhanced Localization in Wireless Personal Area Networks. in Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM’04), vol. 4, Dallas, TX, Dec 2004, pp. 2429–2434

    Google Scholar 

  • H. Sheng, P. Orlik, A.M. Haimovich, L.J. Cimini Jr., J. Zhang, On the spectral and power requirements for ultra-wideband transmission. in Proceedings of IEEE International Conference Communication, vol. 1, May 2003, pp. 738–742

    Google Scholar 

  • L. Stoica, A. Rabbachin, I. Oppermann, A low-complexity noncoherent IR-UWB transceiver architecture with TOA estimation. IEEE Trans. Microw. Theory Tech. 54(4), 1637–1646 (2006)

    Article  Google Scholar 

  • H.L. Van Trees, Detection, Estimation, and Modulation, Part I: Detection, Estimation and Linear Modulation Theory (Wiley, New York, 2001)

    Google Scholar 

  • S. Venkatesh, R.M. Buehrer, NLOS mitigation using linear programming in ultrawideband location-aware networks. IEEE Trans. Veh. Technol. 56(5), 3182–3198 (2007)

    Google Scholar 

  • X. Wang, Z. Wang, B.O. Dea, A TOA based location algorithm reducing the error due to non-line-of-sight (NLOS) propagation. IEEE Trans. Veh. Technol. 52(1), 112–116 (2003)

    Article  Google Scholar 

  • M.Z. Win, R.A. Scholtz, Impulse radio: how it works. IEEE Commun. Lett. 2(2), 36–38 (1998)

    Article  Google Scholar 

  • M.Z. Win, R.A. Scholtz, Ultra-wide bandwidth time-hopping spread-spectrum impulse radio for wireless multiple-access communications. IEEE Trans. Commun. 48, 679–691 (2000)

    Article  Google Scholar 

  • H. Xu, C.-C. Chong, I. Guvenc, F. Watanabe, L. Yang, High-resolution TOA estimation with multi-band OFDM UWB signals. in Proceedings of IEEE ICC’08, 2008, pp. 4191–4196

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Camillo Gentile .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this chapter

Cite this chapter

Gentile, C., Alsindi, N., Raulefs, R., Teolis, C. (2013). Multipath and NLOS Mitigation Algorithms. In: Geolocation Techniques. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1836-8_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-1836-8_3

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-1835-1

  • Online ISBN: 978-1-4614-1836-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics