Multi-target positioning for sensor network based on imaging strategy

摘要

In view of the multi-target positioning, this paper proposes a novel multi-target positioning method based on imaging strategy, which can overcome the solving difficulty, convergence problems, and the data association problem for multi-target. Since the sensor network is capable of receiving targets' scattering information from different angles, we can transform the positioning problems in the geographic space into the peak value extracting in the imaging space by back projection algorithm. What's more, given the sparse properties about the targets in the vast surveillance region and the layout of the sensors, one can reconstruct the multi-target and clear the false-target with the greed and clean algorithm. The performance of this positioning method is analyzed via a series of numerical experiments. We find that the positioning method can effectively capture the multiple targets without solving the non-linear equations.