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Wireless Location on CPN Correction Environmental Factors

机译:CPN校正环境因素的无线定位

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This paper propose a method to deal with the complex nonlinear characteristics, which was caused by the uncertainty of the unknown. As the received signal strength is low in Non line-of-sight environment, the proposed algorithm can be used to process and predict the unknown nodes position by maximum likelihood estimation method. Furthermore, experimental results show that the mobile target tracking error can be less than 1m when we use the method mentioned above, thus meeting the requirements of smart space mobile targeting.
机译:本文提出了一种由未知数不确定性引起的复杂非线性特征的处理方法。由于在非视距环境下接收到的信号强度较低,因此该算法可用于通过最大似然估计方法来处理和预测未知节点的位置。实验结果表明,采用上述方法,移动目标的跟踪误差可以小于1m,满足智能空间移动目标的要求。

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