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Algebraic Solution for Source Localization by Using TOA-based Asymmetric Trip Ranging

机译:基于TOA的非对称行程测距的源定位代数解决方案

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An Asymmetric Trip Ranging (ATR) protocol is proposed for TOA-based wireless localization. The TOA-based localization model is represented as linear estimation problem by using ATR protocol. The proposed Weighted Least Square (WLS) algorithm provides an algebraic solution to the source location. Then the Constrained Weighted Least Square (CWLS) algorithm is designed to improve the localization result by availing the relationship of the estimate. The WLS and CWLS algorithms represent the source location as algebraic form which does not require the initial solution. The simulations show that the performance of the proposed algorithms provide accurate source location estimation for TOA-based wireless localization. Compared with the WLS algorithm, the positioning error of CWLS algorithm is reduced. The performance of the CWLS algorithm is more close to the Cramer-Rao Lower Bound (CRLB) than that of the WLS algorithm.
机译:针对基于TOA的无线定位,提出了一种非对称行程测距(ATR)协议。通过使用ATR协议,将基于TOA的定位模型表示为线性估计问题。提出的加权最小二乘(WLS)算法为源位置提供了代数解决方案。然后设计约束加权最小二乘(CWLS)算法,通过利用估计的关系来改善定位结果。 WLS和CWLS算法将源位置表示为代数形式,不需要初始解。仿真表明,所提出算法的性能为基于TOA的无线定位提供了准确的源位置估计。与WLS算法相比,减少了CWLS算法的定位误差。与WLS算法相比,CWLS算法的性能更接近Cramer-Rao下界(CRLB)。

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