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 language | English |
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Title of host publication | 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008 |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 9781424426447 |
ISBN (Print) | 9781424426430 |
DOIs | |
Publication status | Published - 2008 |
Externally published | Yes |
Event | 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008 - Poznan, Poland Duration: 15 Sept 2008 → 18 Sept 2008 |
Other
Other | 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008 |
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Country/Territory | Poland |
City | Poznan |
Period | 15/09/08 → 18/09/08 |
Keywords
- Neyman-pearson theorem
- Nlos identification
- Signal strength
- TOA