Linear and Planar Array Pattern Nulling via Compressed Sensing

• Autorzy: Mohammed Jafar Ramadhan , Thaher Raad H. , Abdulqader Ahmed Jameel

Identyfikatory

DOI

10.26636/jtit.2021.152921

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

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

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2021
• Tom: nr 3
• Strony: 50--55
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Mohammed Jafar Ramadhan

• College of Electronics Engineering, Ninevah University, Mosul, Iraq

• https://orcid.org/0000-0002-8278-6013

autor

Thaher Raad H.

• College of Engineering, Mustansiriyah University, Baghdad, Iraq

• https://orcid.org/raadthaher55%40gmail.com

autor

Abdulqader Ahmed Jameel

• College of Electronics Engineering, Ninevah University, Mosul, Iraq
• College of Engineering, Mustansiriyah University, Baghdad, Iraq

• https://orcid.org/ahmed.abdulqader%40uoninevah.edu.iq

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).