statistical approach to non-line-of-sight BS identification

Author

Venkatraman, Saipradeep ; Caffery, James, Jr.

Author_Institution

Dept. of Electr. & Comput. Eng. & Comput. Sci., Univ. of Cincinnati, OH, USA

Volume

1

fYear

2002

fDate

27-30 Oct. 2002

Firstpage

296

Abstract

One of the major challenges to finding accurate mobile terminal location is the non-line-of-sight (NLOS) propagation caused by the blocking of the signal´s direct path by obstacles. Traditional location algorithms perform poorly in NLOS environments and this has made it necessary to develop techniques to identify NLOS transmissions and then employ suitable error mitigation techniques. It is extremely difficult to characterize NLOS error because it varies with time and is location specific. We present statistical based techniques to distinguish LOS and NLOS propagation for various scenarios and present simulation results to validate them.

Keywords

radio direction-finding; radiowave propagation; statistical analysis; LOS propagation; NLOS BS identification; NLOS error; NLOS propagation; PDF; base stations; distribution; error mitigation techniques; line-of-sight propagation; location algorithms; nonline-of-sight BS identification; nonline-of-sight propagation; simulation results; statistical approach; statistics; Base stations; Computer science; Measurement standards; Mobile computing; Noise measurement; Pollution measurement; Testing; Velocity measurement; Wireless communication; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Personal Multimedia Communications, 2002. The 5th International Symposium on

ISSN

1347-6890

Print_ISBN

0-7803-7442-8

Type

conf

DOI

10.1109/WPMC.2002.1088180

Filename

1088180