Microwave Sensing and Imaging

• Autore: Randazzo Andrea
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 electronic resource (218 p.)
• Soggetto topico: Technology: general issues; History of engineering & technology
• Soggetto non controllato: MW magnetic field; axial ratio; polarization; NV center; two-dimensional radar imaging; multiple-input multiple-output (MIMO) radar; Particle Swarm Optimization (PSO); imaging plane calibration algorithm (IPCA); microwave tomography; stroke detection; DBIM; linearized inverse scattering; microwave imaging; orbital angular momentum; born approximation; rytov approximation; brain stroke; monitoring; antenna array; electromagnetic scattering; buried objects; through-wall radar; inverse scattering; breast; multipath; dynamic range; software defined radio; leakage; frequency-dimension scale; terahertz; measurements; differential imaging; numerical optimization; block system inversion; trade-off analysis; medical MEMS; wireless power transfer; microwave; thermography; field illustration; permittivity; radar imaging; target detection; experimental measurements; imaging; wave propagation; beam summation methods
• Persona (resp. second.): PontiCristina; FedeliAlessandro; RandazzoAndrea
• Sommario/riassunto: 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.
• Titolo autorizzato: Microwave Sensing and Imaging
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910576872103321
• Lo trovi qui: Univ. Federico II