15. RF Fingerprinting Location Techniques

  1. Seyed A. (Reza) Zekavat2 and
  2. R. Michael Buehrer3
  1. Rafael Saraiva Campos and
  2. Lisandro Lovisolo

Published Online: 6 SEP 2011

DOI: 10.1002/9781118104750.ch15

Handbook of Position Location: Theory, Practice, and Advances

Handbook of Position Location: Theory, Practice, and Advances

How to Cite

Campos, R. S. and Lovisolo, L. (2011) RF Fingerprinting Location Techniques, in Handbook of Position Location: Theory, Practice, and Advances (eds S. A. (. Zekavat and R. M. Buehrer), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118104750.ch15

Editor Information

  1. 2

    Michigan Technological University, Houghton, MI, USA

  2. 3

    Virginia Tech, Blacksburg, VA, USA

Author Information

  1. Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil

Publication History

  1. Published Online: 6 SEP 2011
  2. Published Print: 16 SEP 2011

ISBN Information

Print ISBN: 9780470943427

Online ISBN: 9781118104750



  • database correlation methods (DCMs);
  • location services;
  • radio frequency (RF) fingerprinting methods;
  • RF fingerprint correlation databases (CDBs)


This chapter presents the principles of radio frequency (RF) fingerprinting methods, also known as database correlation methods (DCMs). Although there is a wide variety of DCM implementations, they all share the same basic elements. These elements are identified and analyzed in the chapter. The chapter discusses different alternatives for building RF fingerprint correlation databases (CDBs), and discusses the advantages and drawbacks of each of them, as well as their impact on the positioning accuracy of location services based on DCM. It presents different methods to numerically evaluate the similarity between each fingerprint within the CDB and the measured RF fingerprint, including an artificial neural network (ANN)-based approach. The chapter analyzes two alternatives to reduce the correlation or search space. Finally, it uses field tests to evaluate the positioning accuracy of fingerprinting techniques in both Global System for Mobile Communications (GSM) and Wi-Fi (wireless fidelity) 802.11b networks.

Controlled Vocabulary Terms

fingerprint identification; position measurement; radio frequency