A Phaseless Microwave Imaging Approach Based on a Lebesgue-Space Inversion Algorithm
Claudio Estatico, Alessandro Fedeli, Matteo Pastorino, Andrea Randazzo, Emanuele Tavanti
Abstract
A phaseless tomographic method for microwave imaging is presented in this article. The developed algorithm aims at retrieving the distributions of the dielectric properties of a predefined region under test, starting from amplitude-only electric field measurements. The use of this kind of input data allows cheaper measurement setups that do not require a coherent detection or complex phase synchronization approaches. Inside the imaging procedure, the nonlinear relationship between the amplitude-only measured data and the dielectric properties of the targets is inverted by using an iterative Newton scheme. The core of this approach is represented by a Lebesgue-space regularization algorithm, which is adopted for computing the solution update at each linearization step. The capabilities of the proposed imaging method are evaluated in numerically simulated scenarios, as well as by using experimental field measurements.