Title: Source Localization Wireless Sensor Network Using Time Difference of Arrivals (TDOA)
Abstract: Source localization is a significant application of Wireless sensor networks (WSNs). Several kind of sensors can used for source localization, such as range sensors, bearing sensors and time-difference-of-arrival (TDOA) based sensors. Time difference of arrival (TDOA) technology has been widely used in positioning and navigation system recently. The position estimation of a source through determining time difference of arrival (TDOA) of its signal among distributed sensors has many applications in civil as well as in military. In this research paper we analyses the performance of TDOA localization technique for Binary phase shift keying (BPSK)signals, the whole scenario for source localization using time-difference-of-arrival (TDOA) measurements was considered. The cross-correlation among arbitrary sensors is used to estimate TDOA also by exploiting the spectral characteristic of the received signals by considering the maximum likelihood generalized cross correlation (ML-GCC) the source will as unknown position emitting BPSK signal corrupted by the white Gaussian noise, then the weighted least square Chan’s and Taylor series methods are developed for location estimate with arbitrary sensors. We addressed the problem is source localization via time-difference of arrival estimation in a multipath channel. Solving this localization problem typically implies cross-correlating the noisy signals received at pairs of sensors deployed within reception range of the source and solve the localization problem when there are errors in sensor positions. Correlation-based localization is severely degraded by the presence of multipath. In Simulation results show us that the proposed method for TDOA can achieve the Cramer-Rao lower bound (CRlB) accuracy compared with changing the sampling frequency of the signal and also show that the proposed method achieves a significant performance improvement over existing methods.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
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Cited By Count: 9
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