Non-line-of-sight detection based on TOA and signal strength

Kegen Yu*, Y. Jay Guo

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

8 Citations (Scopus)

Abstract

This paper addresses the problem of identifying NLOS propagation by applying the statistical decision theory. A time-of-arrival (TOA) based method is developed under idealized conditions to provide a performance reference. In the presence of both TOA and received signal strength (RSS) measurements, a joint identification method is derived to efficiently exploit both the TOA and RSS measurements. Analytical expressions for the probability of detection (POD) and the probability of false alarm (PFA) are derived. Simulation results demonstrate that the proposed methods perform well and the joint TOA and RSS based method outperforms the TOA based methods considerably. It is also shown that the analytical results agree with the simulated ones.

Original languageEnglish
Title of host publication2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-5
Number of pages5
ISBN (Electronic)9781424426447
ISBN (Print)9781424426430
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008 - Poznan, Poland
Duration: 15 Sep 200818 Sep 2008

Other

Other2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008
CountryPoland
CityPoznan
Period15/09/0818/09/08

Keywords

  • Neyman-pearson theorem
  • Nlos identification
  • Signal strength
  • TOA

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