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Multilateration localization in the presence of anchor location uncertainties

机译:存在锚点位置不确定性的多边定位

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摘要

Multilateration is a fundamental localization technique for wireless sensor network applications. Classical multilateration techniques typically assume that the anchor locations are known and error free, an assumption that is always not valid in practice. Although the popular total least squares (TLS) method is able to take into account such errors in general, it requires that the noise components in the formulated data matrices be identically, independently distributed. In multilateration localization, however, it can be shown that the noise components in the formulated equations are algebraically related. In this paper, we formulate multilateration for sensor localization based on the use of the constrained total least squares (CTLS) method. By assuming that distance measurement errors are relatively small and can be neglected, we show that the CTLS solution leads to a weighted least squares problem. Computer simulations are used to demonstrate the effectiveness and performance of the proposed technique.
机译:多点定位是无线传感器网络应用程序的基本定位技术。经典的多边定位技术通常假设锚点位置已知且无错误,这一假设在实践中始终无效。尽管流行的总最小二乘法(TLS)通常能够考虑此类误差,但它要求配制的数据矩阵中的噪声分量必须相同,独立分布。但是,在多边定位中,可以证明,公式中的噪声成分与代数相关。在本文中,我们基于约束总最小二乘法(CTLS)的使用,制定了用于传感器定位的多边测量。通过假设距离测量误差相对较小并且可以忽略,我们表明CTLS解决方案会导致加权最小二乘问题。计算机仿真被用来证明所提出技术的有效性和性能。

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