【摘要】 在城市环境中移动传感器网络节点之间的RF信号受反射、衍射以及多径衰落等多种传播方式的影响很大,导致基于节点RF接收信号的定位、跟踪等移动传感器网络应用很难实用化。针对该问题提出一种对城市复杂环境具有鲁棒性的基于阈值的RF信号估值算法。通过分析可知,该算法复杂度低,能够实现复杂环境下RF信号的突变检测,并充分利用Kalman算法的优势进行最优的RF信号估值。最后仿真实验证明,该算法比传统的Kalman算法和滑动窗口算法具有更优的估计性能。更多还原

【Abstract】 RF signals between the mobile sensor networks nodes in an urban environment are greatly impacted by multipath fading and reflection diffraction mode of transmission,which makes practical applications such as mobile sensor networks positioning,tracking so difficult.In this paper,a robust estimation algorithm based on the threshold of the RF signal was presented which fits a complex urban environment.The algorithm low complexity possesses,and can achieve mutation detection of the RF signal in the complex environment,and fully utilize the advantages of the Kalman algorithm to optimal RF signal valuation.Finally,the simulation also proves the better performance of the algorithm than traditional Kalman and the sliding window algorithm.更多还原