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A Location Algorithm with Improved Accuracy Based on Correction of Noise High-Order Cumulant

机译:基于噪声高阶累积量校正的精度提高的定位算法

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摘要

The Non-line-of-sight (NLOS) error is the key issue for mobile user location in cellular wireless communication system. In this paper, we propose a robust and accurate approach using biased Kalman filter based on third-order cumulant to mitigate the NLOS error. The simulation results indicate that with less prior information about communication environments, the approach we present has a better location performance even in severe NLOS situations.
机译:非视距(NLOS)错误是蜂窝无线通信系统中移动用户位置的关键问题。在本文中,我们提出了一种基于三阶累积量的偏置卡尔曼滤波器来减少NLOS误差的鲁棒且准确的方法。仿真结果表明,利用较少的有关通信环境的先验信息,即使在严重的NLOS情况下,我们提出的方法也具有更好的定位性能。

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