On the Joint Time Synchronization and Source Localization Using TOA Measurements | Zendy

Sun Ming | Zendy; Le Yang | Zendy

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On the Joint Time Synchronization and Source Localization Using TOA Measurements

Author(s) -

Sun Ming,

Le Yang

Publication year - 2013

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2013/794805

Subject(s) - cramér–rao bound , computer science , synchronization (alternating current) , position (finance) , clock synchronization , time of arrival , joint (building) , algorithm , noise (video) , upper and lower bounds , self clocking signal , mean squared error , real time computing , gaussian , telecommunications , estimation theory , artificial intelligence , clock skew , wireless , statistics , jitter , mathematics , physics , clock signal , channel (broadcasting) , image (mathematics) , architectural engineering , mathematical analysis , engineering , quantum mechanics , finance , economics

This paper considers the problem of estimating the clock bias and the position of an unknown source using time of arrival (TOA) measurements obtained at a sensor array to achieve time synchronization and source localization. The study starts with deriving the localization mean square error (MSE) for the case where we pretend that the source clock bias is absent and apply TOA positioning to find the source position. An upper bound on the clock bias, over which we shall obtain a higher localization MSE than that from jointly identifying the clock bias with the source position, is established. Motivated by the MSE analysis, this paper proceeds to develop a new efficient solution for joint synchronization and source localization. The new method is in closed-form, computationally attractive, and more importantly; it is shown analytically to attain the CRLB accuracy under small Gaussian TOA measurement noise. Computer simulations are conducted to corroborate the theoretical development and illustrate the good performance of the proposed algorithm. © 2013 Ming Sun and Le Yang.

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