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Linear and Planar Array Pattern Nulling via Compressed Sensing

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

Journal of Telecommunications and Information Technology

2021

nr 3

50--55

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.

Synthesis and Failure Correction of Flattop and Cosecant Squared Beam Patterns in Linear Antenna Arrays

Patidar H., Mahanti G. K., Muralidharan R.

Journal of Telecommunications and Information Technology

2017

nr 4

25--30

This paper deals with the synthesis of ﬂattop and cosecant squared beam patterns using the ﬁreﬂy algorithm which is based on metaheuristics. This synthesis is followed by the correction of the radiation patterns when unfortunate malfunctioning of the individual elements in the array occurs. The necessary attention is given to the recovery process, with due emphasis on reduction of side lobe level, ripple and the reﬂection coeﬃcient. Simulation in Matlab shows a successful employment of the ﬁreﬂy algorithm in producing voltage excitations of the good elements necessary for the recovered patterns. The performance of the ﬁreﬂy algorithm in failure correction is validated by duly comparing it with a standard benchmark.