Advertisement

Signal Strength Positioning

Chapter
  • 796 Downloads
Part of the Navigation: Science and Technology book series (NASTECH)

Abstract

In radio positioning, five basic signal parameters have been widely considered for position determination, namely signal strength, time-of-arrival, frequency difference-of-arrival, carrier phase, and angle-of-arrival. Each of these methods have different strengths and weaknesses, so in general there must be a tradeoff between complexity, the associated cost and positional accuracy.

Keywords

Basic Signal Parameters Received Signal Strength Indicator (RSSI) RSSI Data RSSI Measurements Mean Radial Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Caso G, Nardis L, Benedetto M (2015) Frequentist inference for WiFi fingerprinting 3D indoor positioning. In: Proceedings of the IEEE international conference on communication workshop (ICCW), pp 809–814Google Scholar
  2. Chirakkal V, Park M, Han D (2015) Indoor navigation using WiFi for smartphones: an improved Kalman filter based approach. In: Proceedings of the IEEE International conference on consumer electronics (ICCE), pp 82–83Google Scholar
  3. Combain (2018) https://combain.com
  4. Gu Y, Lo A, Niemegeers I (2009) A survey of indoor positioning systems for wireless personal networks. IEEE Commun Surv Tutor 11(1):13–32CrossRefGoogle Scholar
  5. Koo J, Cha H (2012) Unsupervised locating of WiFi access points using smartphones. IEEE Trans Syst Man Cybern Part C (Appl Rev) 42(6):1341–1353CrossRefGoogle Scholar
  6. Liu H, Darabi H, Banerjee P, Liu J (2007) Survey of wireless indoor positioning techniques and systems. IEEE Trans Syst Man Cybern C: Appl Rev 37(6):1067–1080CrossRefGoogle Scholar
  7. Lui G, Gallagher T, Li B, Dempster A, Rizos C (2011) Differences in RSSI readings made by different Wi-Fi chipsets: a limitation of WLAN localization. In: Proceedings of international conference on localization and GNSS, Tampere, Finland, pp 53–57Google Scholar
  8. 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
  9. Sharp I, Yu K (2018) New methods for improved indoor signal strength positioning. In: Yu K (ed) Positioning and navigation in complex environments. IGI GlobalGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

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

Personalised recommendations