A Multiple-Source Consecutive Localization Algorithm Based on Quantized Measurement for Wireless Sensor Network

摘要

The source localization base on wireless sensor network has attracted considerable attention in recent years. However, most of the previous works focus on the accurate measurement or single source localization. The multiple-source localization has extensive application prospect in many fields. The quantized measurement is a low-cost and low energy consumption solution for wireless sensor network. In this paper, we present a novel multiple-source consecutive localization algorithm using the quantized measurement. We first introduce the multiple acoustic sources model and quantized measurement method. Then the maximum likelihood method is used to establish the localization function and the particle swarm optimization is employed to estimate the initial position of the source. Finally the Kalman filter is used to mitigate the random processing noise. Simulation results show that the proposed method owns high localization accuracy.