Title :
TOA-Based Passive Localization in Quasi-Synchronous Networks
Author :
Yuan Wang ; Shaodan Ma ; Chen, C.L.P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Macau, Macau, China
Abstract :
This letter addresses the problem of localization in a quasi-synchronous network using time-of-arrival (TOA) measurements. The object to be localized is passive, i.e., it is neither a transmitter nor a receiver. Unlike prior TOA-based algorithms, no perfect synchronization between the transceivers is assumed here. A two-step linear algorithm is proposed to jointly estimate the location of the passive object and the unknown time offset between the transceivers. The Bayesian Cramer-Rao lower bound (BCRB) for quasi-synchronous networks is then given for comparison. It is shown that the proposed algorithm can achieve the BCRB and significantly outperform the algorithms using time-difference-of-arrival (TDOA) and differential TOA (DTOA) measurements.
Keywords :
time-of-arrival estimation; transceivers; BCRB; Bayesian Cramer-Rao lower bound; TDOA; TOA based algorithms; TOA based passive localization; TOA measurements; linear algorithm; passive object; quasisynchronous networks; time-difference-of-arrival; time-of-arrival measurements; Bayes methods; Estimation; Receivers; Synchronization; Transceivers; Transmitters; Vectors; BCRB; Localization; TOA;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.021214.132662