Distributed quantized Kalman filtering for wireless sensor networks
无线传感器网络分布式量化卡尔曼滤波

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 asymptot...