A hybrid antenna array diagnostics method based on sparse measurements in near-field
- 1 аспирант, кафедра 406, Московский авиационный институт (национальный исследовательский университет) (МАИ)
- 2 д.т.н., профессор, кафедра 406, Московский авиационный институт (национальный исследовательский университет) (МАИ)
Abstract
A hybrid algorithm of large antenna arrays diagnostics with low number of measurements is presented. Conventional algorithms require small spatial sampling interval that leads to large number of measurements for electrically large arrays. The proposed algorithm is based on «Compressive sensing» (CS) approach and finds the difference between reference antenna excitation and defect antenna excitation.
The algorithm comprises two steps. At first step, a local minimization-based algorithm is applied to approximately solve a diagnostics problem. At second step, this solution is used to determine «potentially defect» elements. After that, a genetic algorithm is applied to acquire more accurate solution. The results of l1-minimization-based array diagnosis using iterative algorithm and hybrid algorithm are presented.
How to cite
Кузнецов Г.Ю., Темченко В.С. Комбинированный метод диагностики антенных решеток на основе ограниченного набора измерений полевых характеристик в ближней зоне // Наукоемкие технологии. 2015. № 8. С. 48–53.
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