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A Novel TOA-Based Source Localization Algorithm in Wireless Sensor Networks

机译：无线传感器网络中的一种小说基于TOA的源定位算法

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摘要

With great development of wireless sensor networks (WSNs) technology, one of its important applications, source localization, has attracted numerous interests of recent scientific researches. Among different kinds of methods, techniques based on time difference of arrival (TDOA) and time of arrival (TOA) are practical and of high accuracy. In consideration of TDOA-based methods' inherent noise correlation and loss in signal-to-noise ratio (SNR), this paper focuses on TOA-based source localization method in WSNs. We formulate the localization problem as a maximum-likelihood (ML) problem, and exploit the relationship between the emitting time constant of signal and the coordinate of source to remove the time constant in the ML function. Then the conjugate gradient method is utilized to obtain the final solution. Simulation results validate the convergence of the proposed algorithm and demonstrate its better performance than some existing TDOA based techniques.
机译：随着无线传感器网络（WSNS）技术的巨大发展，其重要应用中的一个重要应用，源本地化，吸引了近期科学研究的众多兴趣。在不同种类的方法中，基于到达时间差（TDOA）和到达时间（TOA）的技术是实际的并且具有高精度。考虑到基于TDOA的方法“信噪比（SNR）的固有噪声相关和损失，本文侧重于WSN的基于TOA的源定位方法。我们将本地化问题作为最大可能性（ml）问题，并利用信号发射时间常数与源坐标之间的关系，以将ML功能中的时间常数移除。然后利用共轭梯度方法来获得最终解决方案。仿真结果验证了所提出的算法的收敛性，并展示其比某些现有的基于TDOA技术的性能更好。

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