Object structure

Linear and Planar Array Pattern Nulling via Compressed Sensing, Journal of Telecommunications and Information Technology, 2021, nr 3


Mohammed, Jafar Ramadhan ; Thaher, Raad H. ; Abdulqader, Ahmed Jameel

Subject and Keywords:

convex optimization ; compressed sensing ; iterative re-weighted l1- norm minimization ; linear and planar arrays


An optimization method based on compressed sensing is proposed for uniformly excited linear or planar antenna arrays to perturb excitation of the minimum number of array elements in such a way that the required number of nulls is obtained. First, the spares theory is relied upon to formulate the problem and then the convex optimization approach is adopted to find the optimum solution. The optimization process is further developed by using iterative re-weighted l1- norm minimization, helping select the least number of the sparse elements and impose the required constraints on the array radiation pattern. Furthermore, the nulls generated are wide enough to cancel a whole specific sidelobe. Simulation results demonstrate the effectiveness of the proposed method and the required nulls are placed with a minimum number of perturbed elements. Thus, in practical implementations of the proposed method, a highly limited number of attenuators and phase shifters is required compared to other, conventional methods


Instytut Łączności - Państwowy Instytut Badawczy


2021, nr 3

Resource Type:




Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852


Journal of Telecommunications and Information Technology



Rights Management:

Biblioteka Naukowa Instytutu Łączności



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