Title :
Three Estimation Methods for RSSI-based Localization with Multiple Transmit Antennas
Author :
Hara, Shinsuke ; Anzai, Daisuke
Author_Institution :
Osaka City Univ., Osaka
Abstract :
In a radio signal strength indicator (RSSI)-based localization with multiple transmit antennas, a target node with unknown coordinate is equipped with multiple antennas and transmits packets to anchor nodes with known coordinates, selecting one antenna out of them in a round robin manner. On the other hand, anchor nodes measure the RSSIs of received packets and send the measured data to a sink node, and finally, a computer estimates the location of the target node according to a maximum likelihood (ML) method. This paper discusses three estimation methods; joint, simplified and approximated estimation methods and compares the three estimation methods in term of the root mean square (RMS) estimation error.
Keywords :
antenna arrays; least mean squares methods; maximum likelihood estimation; radio networks; transmitting antennas; anchor nodes; approximated estimation methods; maximum likelihood method; multiple transmit antennas; radio signal strength indicator-based localization; root mean square estimation error; Antenna measurements; Communication standards; Land mobile radio; Maximum likelihood estimation; Mobile antennas; Mobile communication; Root mean square; Round robin; Transmitting antennas; Wireless communication;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1144-3
Electronic_ISBN :
978-1-4244-1144-3
DOI :
10.1109/PIMRC.2007.4394226
