基于偏差精炼的闭式TDOA-FDOA定位方法

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2019-10-01 DOI:10.1109/WCSP.2019.8928125

Fengrui Zhang, Mingbing Li, Yimao Sun, Jifeng Zou, Q. Wan

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引用次数: 2

摘要

本文研究了无线传感器网络中基于到达时间差(TDOA)和到达频率差(FDOA)测量的运动源定位问题。提出了一种改进的两阶段加权最小二乘闭式解。第一阶段和第二阶段分别采用加权球插值法和偏差精化法。分析验证了在轻度高斯噪声假设下，所提解的性能可以达到cram r- rao下界。数值模拟结果表明，该方法是有效的，并显著降低了估计偏差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A TDOA-FDOA Localization Method in Closed-form Based on Deviation Refining

This paper focuses on localizing a moving source with time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements in a wireless sensor network. An improved two-stage weighted least squares closed-form solution is proposed. The weighted spherical-interpolation method and deviation refining method are applied in the first and second stage respectively. It is analytically verified that the performance of proposed solution can attain the Cramér-Rao lower bound under mild Gaussian noise assumption. The proposed solution is shown to be effective and significantly decreases the bias of the estimate in terms of numerical simulations.

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2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)

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