An Improved Greedy Matching Pursuit Algorithm for Multiple Target Localization

In this paper, an improved algorithm is proposed to estimate the multiple target location based on compressive sensing in wireless sensor networks. The targets may not exactly locate in the grid center point, which can induce localization errors. To improve the localization accuracy, we employ the multi-resolution analysis (MRA) to the greedy matching pursuit (GMP) algorithm. The proposed algorithm can estimate the target location with low computational complexity and high level of localization accuracy. The simulations show that the performance of the proposed algorithm outperforms that of the GMP algorithm.