异步多传感器网络的乱序测量融合

Ge Quanbo, Wang Xun, Guan Binglei
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摘要

在无线传感器网络中,不同传感器的采样速度和随机传输延迟往往会导致乱序测量(OOSM)的出现。现有的OOSM算法大多是针对某些特殊的异步系统建立的,不仅不能处理融合期间存在多个OOSM的情况,而且通用性差。针对上述问题,提出了基于等效测量和正交映射技术的异步采样通用OOSM系统集中融合方法。理论分析和仿真实例均表明,所提出的OOSM融合算法不仅能有效地处理任意异步OOSM系统,而且融合精度优于目前针对特殊系统的OOSM方法。
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Out-Of-Sequence Measurements fusion for asynchronous multisensor network
Different sensors' sampling velocities and random transmission delay for wireless sensor networks often make the Out-Of-Sequence Measurements (OOSM) appearred. Most of the current OOSM algorithms are established for some special asynchronous systems, so they can't not only deal with the case that there have multiple OOSMs in the fusion period but also have bad universal ability. For mentioned problems above, the centralized fusion methods for this OOSM system is proposed based on equivalent measurements and orthogonal mapping technologies for a general OOSMs system with asynchronous sampling. The theoretic analysis and simulation examples both show that the proposed OOSM fusion algorithms not only deal with effectively arbitrary asynchronous OOSM system but also the fusion accuracy is better than the current OOSM method for special system.
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