Total Least Squares Method for Robust Source Localization in Sensor Networks Using TDOA Measurements | Zendy

Yang Weng | Zendy; Wendong Xiao | Zendy; Lihua Xie | Zendy

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Total Least Squares Method for Robust Source Localization in Sensor Networks Using TDOA Measurements

Author(s) -

Yang Weng,

Wendong Xiao,

Lihua Xie

Publication year - 2011

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 - 10.1155/2011/172902

Subject(s) - multilateration , least squares function approximation , wireless sensor network , total least squares , perturbation (astronomy) , sensitivity (control systems) , computer science , linear least squares , algorithm , sensor node , non linear least squares , mathematical optimization , node (physics) , mathematics , statistics , engineering , estimation theory , telecommunications , acoustics , electronic engineering , physics , key distribution in wireless sensor networks , wireless , computer network , wireless network , quantum mechanics , estimator , singular value decomposition

The TDOA-based source localization problem in sensor networks is considered with sensor node location uncertainty. A total least squares (TLSs) algorithm is developed by a linear closed-form solution for this problem, and the uncertainty of the sensor location is formulated as a perturbation. The sensitivity of the TLS solution is also analyzed. Simulation results show its improved performance against the classic least squares approaches.

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