TY - BOOK ID - 134682181 TI - Microwave Sensing and Imaging AU - Randazzo, Andrea AU - Ponti, Cristina AU - Fedeli, Alessandro PY - 2022 PB - MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - MW magnetic field KW - axial ratio KW - polarization KW - NV center KW - two-dimensional radar imaging KW - multiple-input multiple-output (MIMO) radar KW - Particle Swarm Optimization (PSO) KW - imaging plane calibration algorithm (IPCA) KW - microwave tomography KW - stroke detection KW - DBIM KW - linearized inverse scattering KW - microwave imaging KW - orbital angular momentum KW - born approximation KW - rytov approximation KW - brain stroke KW - monitoring KW - antenna array KW - electromagnetic scattering KW - buried objects KW - through-wall radar KW - inverse scattering KW - breast KW - multipath KW - dynamic range KW - software defined radio KW - leakage KW - frequency-dimension scale KW - terahertz KW - measurements KW - differential imaging KW - numerical optimization KW - block system inversion KW - trade-off analysis KW - medical MEMS KW - wireless power transfer KW - microwave KW - thermography KW - field illustration KW - permittivity KW - radar imaging KW - target detection KW - experimental measurements KW - imaging KW - wave propagation KW - beam summation methods UR - https://www.unicat.be/uniCat?func=search&query=sysid:134682181 AB - In recent years, microwave sensing and imaging have acquired an ever-growing importance in several applicative fields, such as non-destructive evaluations in industry and civil engineering, subsurface prospection, security, and biomedical imaging. Indeed, microwave techniques allow, in principle, for information to be obtained directly regarding the physical parameters of the inspected targets (dielectric properties, shape, etc.) by using safe electromagnetic radiations and cost-effective systems. Consequently, a great deal of research activity has recently been devoted to the development of efficient/reliable measurement systems, which are effective data processing algorithms that can be used to solve the underlying electromagnetic inverse scattering problem, and efficient forward solvers to model electromagnetic interactions. Within this framework, this Special Issue aims to provide some insights into recent microwave sensing and imaging systems and techniques. ER -