控制理论与应用2011，Vol.28Issue(12)：1729-1739,11.
无线传感器网络分布式量化卡尔曼曼滤滤波
Distributed quantized Kalman filtering for wireless sensor networks
摘要
Abstract
We study the distributed quantized Kalman filtering for the target-tracking in wireless sensor networks（WSNs）.Because of the constraints on power and bandwidth in WSNs,sensor data have to be quantized before transmis-sion.A linear discrete-time stochastic dynamic system is employed for this purpose.First,a dynamic Lloyd-Max quantizer is adopted and the corresponding online update scheme is designed.Then,the optimal recursive quantized Kalman filter is derived based on the Bayesian principles,and an asymptotically equivalent iterative algorithm is developed.The sta-bility of the quantized Kalman filter is analyzed.Simulation results show the feasibility and effectiveness of the designed algorithms.关键词
无线传感器网络/分布式量化卡尔曼滤波/动态Lloyd-Max量化器/稳定性Key words
wireless sensor networks/distributed quantized Kalman filtering/dynamic Lloyd-Max quantizer/stability分类
信息技术与安全科学引用本文复制引用
陈军勇,邬依林,祁恬..无线传感器网络分布式量化卡尔曼曼滤滤波[J].控制理论与应用,2011,28(12):1729-1739,11.基金项目
国家自然科学基金重点资助项目 （）
国家自然科学基金资助项目 （）
国家科技部“973”计划资助项目 （）
