【作者】 汤显峰； 陈荣江； 葛泉波； 文成林；

【Author】 TANG Xian-feng1,CHEN Rong-jiang2,GE Quan-bo3,WEN Cheng-lin1(1.College of Automation,Hangzhou Dianzi University,Hangzhou 310018,China;2.Department of Mathematics,Henan Institute of Science and Technology,Xinxiang 453003,China;3.Department of Electrical Automation,Shanghai Maritime University,Shanghai 200135,China)

【机构】 杭州电子科技大学自动化学院； 河南科技学院数学系； 上海海事大学电气自动化系；

【摘要】 以噪声相关和传输存在短时滞的传感器网络融合系统为研究对象,利用递推融合技术,在误差协方差阵迹最小的意义下,推导出一种能处理各种局部估计相关的最优递推融合算法。与现有的方法相比,该算法具有计算量小、容错性好、实时处理性强的特点。并通过理论分析和计算机仿真相结合的方法验证了新算法的有效性。更多还原

【Abstract】 The fusion system with correlated noises and short time-lag for sensor networks is researched.An optimal recursive fusion algorithm that can process various correlated local estimates is derived by using recursive fusion technique in minimizing the trace of the estimated error covariance matrix.This proposed algorithm has lower computational load,good fault tolerance and stronger real-time processing capability,compared with the existing approach.The effectiveness of the proposed algorithm is verified by theoretical analysis and computer simulation.更多还原