Fast image reconstruction algorithm for radio tomographic imaging

Abstract

Radio tomographic imaging is an emerging technology of imaging the attenuation by the objects in the area surrounded by the wireless sensor nodes to locate and track the objects. So it's significant to reconstruct the image in real-time to track the motion of the objects and also with good enough imaging quality. Tikhonov regularization can achieve the real-time requirement with acceptable imaging results by one-step multiplication. Landweber iteration can obtain better imaging quality but need many times of iteration. This paper use pre-iteration method to complete the iteration process of Landweber iteration offline and reconstruct the image online by one-step multiplication, just like Tikhonov regularization. Simulation and experiments show this method can get better imaging results than Tikhonov regularization and imaging the objects in real-time. © 2013 Springer Science+Business Media New York.