Optimum design of non-uniform symmetrical linear antenna arrays using a novel modified invasive weeds optimization

Abstract

This paper presents a new modified method for the synthesis of non-uniform linear antenna arrays. Based on the recently developed invasive weeds optimization technique (IWO), the modified invasive weeds optimization method (MIWO) uses the mutation process for the calculation of standard deviation (SD). Since the good choice of SD is particularly important in such algorithm, MIWO uses new values of this parameter to optimize the spacing between the array elements, which can improve the overall efficiency of the classical IWO method in terms of side lobe level (SLL) suppression and nulls control. Numerical examples are presented and compared to the existing array designs found in the literature, such as ant colony optimization (ACO), particle swarm optimization (PSO), and comprehensive learning PSO (CLPSO). Results show that MIWO method can be a good alternative in the design of non-uniform linear antenna array.

Semi-Coprime Array with Staggered Beam-Steering of Sub-Arrays

“…To achieve this objective, researchers have analysed different geometries, inter-element distances, aperture sizes and excitation amplitudes or weights. Linear geometry has been tested for uniform [ 1 , 2 , 3 , 4 ] and non-uniform distances [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ]. Uniform linear arrays (ULAs) have been investigated for different inter-element spacing ranging from a fraction to few multiples of a wavelength ( ).…”

“…One of the techniques to create an NULA is sparsification or thinning of the SULA in which many of the elements are removed. Other methods for designing NULAs include finding inter-element spacing using either a non-linear function such as a logarithm [ 5 ], parabolic relation [ 13 ], etc., or a heuristic optimization technique such as genetic algorithm (GA) [ 8 ], firefly algorithm (FA) [ 6 ], particle swarm optimization (PSO) [ 15 ], invasive weed optimization (IWO) [ 9 ], chicken swarm optimization (CSO) [ 16 ], grasshopper optimization (GO) [ 17 ], etc. To achieve either a small HPBW or high PSLR, a number of non-uniform weighting techniques have been applied to both ULAs and NULAs.…”

A Dynamic Invasive Weeds Optimization Applied to Null Control of Linear Antenna Arrays with Constrained DRR

“…In addition, multi-objective invasive weed optimization (MOIWO) algorithm, based on the nondominated sorting of the solutions, has been used to optimize the pulse durations and the switch-on instants of the time-modulated elements of a conformal phased antenna array [27]. Previously, we proposed and used a modified IWO for the synthesis of both cosecant linear antenna array in [28] and non-uniform linear array in [29]. In this paper, the proposed dynamic IWO (DIWO) is used to synthesize linear antenna arrays to find optimal amplitude weights that allow achieving an array pattern imposing a broad null and suppressing the sidelobe levels with keeping the main beam width of a reference pattern.…”