逐步融合SOI-KF随机丢包

Na Liu, Shu-Li Sun
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引用次数: 1

摘要

针对无线传感器网络中带宽有限的现象,根据带宽符号将其量化为1位基准,降低了传输负担和能耗。在每一个采样周期内,必须考虑到传输的数据可能丢失,也可能在不同的时间点被融合中心接收。基于先到先处理的思想,设计了基于随机丢包的逐级融合SOI-KF(卡尔曼滤波器)。避免了在一个采样周期内对先到达融合中心的数据进行等待,减少了集中融合过程中由于增强带来的高维计算负担。仿真结果验证了该算法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Step by step fusion SOI-KF with random packet dropping
To the phenomenon of the limited bandwidth in wireless sensor networks, the innovation is quantized to a one-bit datum based on its sign, which reduces the transmission burden and energy consumption. During every sampling period, it must be taken into account that the transmitted data may be lost or received by the fusion center at different time instants. So the step by step fusion SOI-KF (Kalman Filter using the Sign of Innovations) with random packet dropping is designed based on the idea of first coming first dealing. It will avoid the waiting of the data which have firstly reached the fusion center in a sampling period and reduce the high-dimension computational burden caused by augmentation in the centralized fusion. The simulation verifies the feasibility and effectiveness of the algorithm.
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