A compressed sensing‐based diagnosis method for impaired subarrayed antenna arrays

Abstract

A novel diagnosis method for impaired subarrayed antenna arrays is proposed in this letter. The proposed method can be applied to the diagnosis of both impaired subarrays and failed elements by analyzing the impairment circumstances and using the compressing sensing-based method. The accuracy of the diagnosis results is greatly improved through an iterative reweighted l 1 -norm method with the matrix techniques, even if there are many failed elements in each impaired subarrays. The analysis of numerical examples, including the diagnoisis of linear arrays and planar arrays, and the comparison with the state-of-the-art diagnosis techniques show the superiority of the proposed method for the application of diagnosis of impaired subarrayed arrays.

Array-Designed Triboelectric Nanogenerator for Healthcare Diagnostics: Current Progress and Future Perspectives

“…In recent years, research directions have been focused on addressing these limitations and exploring new pathways for amplifying the performance and capabilities of these adaptable devices, and AD-TENGs are distinctively recognized because their matrix configuration nurtures a diverse approach towards detection and energy harvesting [22][23][24][25]. This gridlike framework inherently houses essential qualities such as enhanced sensitivity, superior spatial resolution, redundancy, and the ability for concurrent multi-detection, elements vital for dynamic monitoring functionalities [26][27][28][29]. Moreover, AD-TENGs are adept at registering subtle physiological alterations, thereby holding immense potential to steer the course of advancements in healthcare and wearable technology [30][31][32][33][34][35][36].…”