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RSS-Based Target Tracking with Unknown Path Loss Exponent

机译:具有未知路径损耗指数的基于RSS的目标跟踪

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This paper studies the problem of target tracking by using the received signal strength (RSS) with unknown path loss exponent. The path loss exponent is estimated by using the least square approach and the unscented Kalman filter is used to address the nonlinear filtering problem. A numerical example and an experiment involving localization of a mobile robot are provided to demonstrate the effectiveness of the proposed algorithm.
机译:本文利用路径损耗指数未知的接收信号强度(RSS)研究目标跟踪问题。通过使用最小二乘法估计路径损耗指数,并使用无味卡尔曼滤波器解决非线性滤波问题。数值算例和涉及移动机器人定位的实验被提供来证明所提出算法的有效性。

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