Time-of-Arrival Measurements

Part of the Navigation: Science and Technology book series (NASTECH)


For a radiolocation system the position of an object is determined using some characteristic of the radio frequency signal. These characteristics could include the signal strength, the signal phase (for angle of arrival measurements) or the propagation time-of-flight (TOF) from the transmitter to the receive.


Radiolocation Systems Multipath Interference Multipath Signals Simple Threshold Algorithm Pulse Rise Time 
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  1. Alavi B, Pahlavan K (2006) Modeling of the distance measure error using UWB indoor radio measurement. IEEE Commun Lett 10(4):275–277CrossRefGoogle Scholar
  2. Alsindi N, Alavi B, Pahlavan K (2009) Measurement and modelling of ultra wideband TOA-based ranging in indoor multipath environments. IEEE Trans Veh Technol 58(3):1046–1058CrossRefGoogle Scholar
  3. Bellusci G, Janssen GJ, Yan J, Tiberius C (2008) Model of distance and bandwidth dependency of TOA-based UWB ranging error. In: Proceedings of IEEE international conference on ultra-wideband, pp 193–196 (2008)Google Scholar
  4. Chehri A, Fortier P, Tardif P (2007) On the TOA estimation for UWB ranging in complex confined area. In: Proceedings of international symposium on signals, systems and electronics (ISSE), July 2007Google Scholar
  5. Dardari D, Chong CC, Win MZ (2008) Threshold-based time-of-arrival estimators in UWB dense multipath channels. IEEE Trans Commun 56(8):1366–1378CrossRefGoogle Scholar
  6. Gentile C, Kik A (2006) An evaluation of ultra wideband technology for indoor ranging. In: Proceedings of IEEE GLOBECOM, pp 1–6 (2006)Google Scholar
  7. Humphrey D, Hedley M (2008) Super-resolution time of arrival for indoor localization. In: Proceedings of the international conference on communications (ICC), Beijing, China, pp 3286–3290, May 2008Google Scholar
  8. Humphrey D, Hedley M (2009) Prior models for super-resolution time of arrival estimation. In: Proceedings of IEEE 69th vehicular technology conference, April 2009Google Scholar
  9. Prieto J, Bahillo A, Mazuelas S, Lorenzo RM, Blas J, Fernandez P (2009) NLOS mitigation based on range estimation error characterization in an RTT-based IEEE 802.11 indoor location system. In: Proceedings of IEEE international symposium on intelligent signal processing, pp 61–66 (2009)Google Scholar
  10. Sathyan T, Humphrey D, Hedley M (2011) WASP: a system and algorithms for accurate radio localization using low-cost hardware. IEEE Trans Syst Man Cybern–Part C 41(2):211–222CrossRefGoogle Scholar
  11. Sharp I, Yu K (2013) Improving ranging with analog Wi-Fi radios: methods and analysis. Mob Comput 2(2):43–58Google Scholar
  12. Sharp I, Yu K (2014) Indoor TOA error measurement, modeling and analysis. IEEE Trans Instrum Meas 63(9):2129–2144CrossRefGoogle Scholar
  13. Sharp I, Yu K, Guo YJ (2009) Peak and leading edge detection for time-of-arrival estimation in band-limited positioning systems. IET Commun 3(10):1616–1627CrossRefGoogle Scholar
  14. Wang W, Jost T, Mensing C (2009) ToA and TDoA error models for NLOS propagation based on outdoor to indoor channel measurement. In: Proceedings of IEEE wireless communications and networking conference (WCNC), Apr 2009Google Scholar
  15. Yu K, Sharp I, Guo YJ (2009) Ground-based wireless positioning. Wiley-IEEE PressGoogle Scholar

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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.CSIRO ICT CentreMarsfieldAustralia
  2. 2.China University of Mining & TechnologyXuzhouChina

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