DocumentCode :
1707320
Title :
Non-line-of-sight detection based on TOA and signal strength
Author :
Yu, Kegen ; Guo, Y. Jay
Author_Institution :
Wireless Technol. Lab., CSIRO ICT Centre, Marsfield, NSW
fYear :
2008
Firstpage :
1
Lastpage :
5
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.
Keywords :
signal detection; statistical analysis; time-of-arrival estimation; NLOS propagation; TOA estimation; joint identification method; nonline-of-sight detection; probability of detection; probability of false alarm; received signal strength; statistical decision theory; time-of-arrival based method; Acoustic noise; Australia; Error analysis; Laboratories; Noise measurement; Paper technology; Radio propagation; Signal processing; Testing; Working environment noise; NLOS identification; Neyman-Pearson Theorem; TOA; signal strength;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on
Conference_Location :
Cannes
Print_ISBN :
978-1-4244-2643-0
Electronic_ISBN :
978-1-4244-2644-7
Type :
conf
DOI :
10.1109/PIMRC.2008.4699474
Filename :
4699474
Link To Document :
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