Title :
A selective model to suppress NLOS signals in angle-of-arrival (AOA) location estimation
Author_Institution :
GTE Labs. Inc., Waltham, MA, USA
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;
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
DOI :
10.1109/PIMRC.1998.733610
