事件触发异步融合算法及在光电传感网的应用  

Asynchronous Event-Triggered Fusion Algorithm and Its Application to Optic-Electric Sensor Network

作　　者：陈烨 盛安冬[2] CHEN Ye;SHENG Andong(School of Artificial intelligence,Nanjing Institute of Technology,Nanjing 211167,China;School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China)

机构地区：[1]南京工程学院人工智能产业技术研究院,南京211167 [2]南京理工大学自动化学院,南京210094

出　　处：《兵器装备工程学报》2021年第10期182-186,共5页Journal of Ordnance Equipment Engineering

基　　金：国家自然科学基金项目(61871221);国家自然科学基金项目(61773210);南京工程学院科研基金项目(YKJ201864)。

摘　　要：关于异步多传感器信息融合问题,已有状态估计方法可精确获知目标状态信息,但存在各异步传感器与融合中心间通信量过大的问题。作者提出了一种基于事件触发机制的多传感器异步估计框架,减少各传感器与融合中心间不必要的信息交互,推导了所提出框架下的目标状态估计算法,给出了保证所提算法估计误差有界的条件。最后通过某异步光电探测网络中的应用,仿真验证了所提机制及算法的有效性及工程应用的可行性。The existing estimator can estimate the target’s state accurately for the asynchronous multi-sensor information fusion system.However,it suffers from the drawback of the high communication cost between sensors and the fusion center.Therefore,an event-triggered mechanism was proposed in this article to avoid the unnecessary information exchange between sensors and the fusion center.The corresponding state estimation algorithm was derived.And the condition to guarantee the boundedness of this algorithm was given.The effectiveness of the proposed mechanism and the algorithm were verified through its application to a optic-electric sensor network.

关 键 词：事件触发机制 光电传感网 异步信息融合 估计误差有界 降低通信量 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]