Title :
An improved MUSIC TOA estimator for RFID positioning
Author :
Wang, J.S. ; Shen, Z.X.
Author_Institution :
Nanyang Technol. Univ., Singapore
Abstract :
An improved multiple signal classification (MUSIC) algorithm for time of arrival (TOA) estimation in multipath channels, the L-MUSIC method, is proposed. The L-MUSIC is, in fact, a special weighted MUSIC algorithm. Simulation results proved that the new algorithm has a better performance than the original MUSIC method in two aspects: close paths and large number of paths. The algorithm can be applied in a radio frequency identification (RFID) positioning system to achieve high accuracy over a short range.
Keywords :
multipath channels; parameter estimation; radio direction-finding; signal classification; L-MUSIC method; RFID positioning system; close paths; improved music TOA estimator; multipath channels; multiple signal classification algorithm; radio frequency identification; short range; simulation results; weighted MUSIC algorithm; Correlation; Delay effects; Filtering; Matched filters; Maximum likelihood estimation; Multipath channels; Multiple signal classification; Radiofrequency identification; Signal resolution; Time of arrival estimation;
Conference_Titel :
RADAR 2002
Conference_Location :
Edinburgh, UK
Print_ISBN :
0-85296-750-0
DOI :
10.1109/RADAR.2002.1174758
