A novel multi-target localization algorithm for WSN

Accurate localization of target is a premise for the application of Wireless Sensor Network(WSN), which is related to the quality of network data collection, data storage and data query, etc.. In this paper, the target spatial domain is discretized by grids, when the network area consists only of several targets, the target localization is a sparsity-seeking problem such that the Compressed Sensing(CS) framework can be applied. We investigate the target localization as a CS problem, and solve it by an Improved Orthogonal Matching Pursuit(IOMP) algorithm. The experimental results show that, this algorithm offers an attractive performance for multi-target localization, and it has excellent noise immunity.