A selective model to suppress NLOS signals in angle-of-arrival (AOA) location estimation

Author

Xiong, Li

Author_Institution

GTE Labs. Inc., Waltham, MA, USA

Volume

1

fYear

1998

fDate

8-11 Sep 1998

Firstpage

461

Abstract

Angle-of-arrival (AOA) is a key technique in wireless location estimation. The study of AOA becomes very important with the FCC ruling regarding the wireless Enhanced 911 (E911) emergency calling systems. This paper studies the performance of AOA in a cellular environment. Special attention is drawn to the non-line-of-sight (NLOS) problem that is a significant error source in position estimation. A model is proposed to identify and to reduce the NLOS errors with the coordination of many base stations. The simulation results show that the proposed algorithm is quite efficient in reducing the estimation error when NLOS is present

Keywords

cellular radio; direction-of-arrival estimation; emergency services; interference suppression; radio direction-finding; AOA location estimation; E911 systems; FCC ruling; NLOS signals suppression; RMS; angle-of-arrival location estimation; base stations coordination; cellular environment; error source; estimation error reduction; non-line-of-sight; position estimation; root mean square; selective model; simulation results; wireless Enhanced 911 emergency calling systems; Antenna measurements; Area measurement; Base stations; Estimation error; FCC; History; Laboratories; Noise measurement; Position measurement; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 1998. The Ninth IEEE International Symposium on

Conference_Location

Boston, MA

Print_ISBN

0-7803-4872-9

Type

conf

DOI

10.1109/PIMRC.1998.733610

Filename

733610