BENONI, Arianna and POLI, Lorenzo and ROCCA, Paolo and MASSA, Andrea (2024) Power Pattern Matching-Based Design of Clustered Phased Arrays: A Novel Method for Linear Arrays. Technical Report. ELEDIA Research Center - University of Trento.
![[img]](http://www.eledia.org/students-reports/style/images/fileicons/text.png) |
Text
Power_Pattern_Matching-Based_Design_of_Clustered_Phased_Arrays_A_Novel_Method_for_Linear_Arrays.pdf Download (614kB) |
Abstract
This work addresses the design of subarrayed phased arrays (PAs) with control over only the amplitude and phase, enabling the generation of custom-shaped power patterns that match with the specified reference pattern. The synthesis problem is approached within the power pattern domain, introducing an innovative clustering method with complex excitations. This method decomposes the reference power pattern into a series of elementary patterns, equal in number to the array elements. A selection of representative results is provided to demonstrate the approach's capabilities and to evaluate its performance with respect to the state-of-the-art (SoA) excitation matching (EM)-based clustering techniques.
| Item Type: | Monograph (Technical Report) |
|---|---|
| Uncontrolled Keywords: | Clustered array, iterative projection method (IPM), k-means algorithm, linear array, phased array (PA), power pattern matching (PM). |
| Subjects: | A Areas > A WC Next Generation Wireless Communications M Methodologies > M EA Evolutionary Algorithms |
| Divisions: | University of Trento > Faculty of Telecommunications, Electronics Engineering > Department of Information Engineering and Computer Science > ELEDIA Research Center |
| URI: | http://www.eledia.org/students-reports/id/eprint/897 |
Actions (login required)
 |
View Item |
