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Source localization is an important application of wireless sensor networks (WSNs). Many types of sensors can be used for source localization, e.g., range sensors, bearing sensors and time-difference-of-arrival (TDOA) based sensors, etc. It is well known that relative sensor-source geometry can significantly affect the performance of any particular localization algorithm. Existing works in the literature...
For the purpose of source localization, we have proposed two recursive algorithms in our companion paper, which use time difference of arrival (TDOA) measurements received from sensors by accounting for random uncertainties in sensor positions. This paper is devoted to presenting a comparative analysis on the two recursive localization algorithms. The first algorithm is called recursive localization...
This paper presents a study on source localization using time difference of arrival (TDOA) measurements from static sensors in the presence of random errors in sensor positions. We develop a constrained weighted least squares (CWLS) source localization method which incorporates the relationship between the source position and an auxiliary variable as a constraint. The CWLS source localization is formulated...
We consider source localization in a wireless sensor network in the absence of a fusion center, where each sensor makes hybrid time-of-arrival (TOA) and direction-of-arrival (DOA) measurements. Specially, in this paper, we focus on the bounded noise case. Distributed location estimation is posed as a consensus problem. The average consensus method in the literature can be used for a linear fusion...
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