Strong Tracking Filter with bandwidth constraint for sensor networks

Limited bandwidth is an unavoidable constraint for the information transmission from local sensors to the estimation center over sensor networks. For a networked target tracking system with single sensor, which consists of a state-vector and an observation-vector, the quantized state estimation is researched under the centralized frame with bandwidth constrained in this paper. Firstly, by introducing Strong Tracking Filtering (STF) to deal with uncertain measurement model induced by the current variance approximation of quantization error for adaptive bits quantization error, a novel quantized strong tracking filter is presented. Secondly, the estimation performance for quantized filter with different quantization intervals is discussed. Finally, two numerical examples are demonstrated.