Implementation of quantized innovation Kalman filter in a distributed wireless sensor network

Abstract

Wireless sensor network (WSN) provides a low-cost, self-organized and fault-tolerant solution for physical world monitoring. Target tracking is one of the important applications of WSN. Due to the limited communication, computation, and sensing capabilities of WSN, it should rely on not only robust and efficient algorithms but also an efficient distributed sensor measurement, to trade off tracking accuracy with sensor energy cost. Sensors in a WSN are required to continuously determine the positions of a mobile target by processing the distributed sensor measurements.