Pattern Nulling of Linear Antenna Arrays Using Backtracking Search Optimization Algorithm

Abstract

An evolutionary method based on backtracking search optimization algorithm (BSA) is proposed for linear antenna array pattern synthesis with prescribed nulls at interference directions. Pattern nulling is obtained by controlling only the amplitude, position, and phase of the antenna array elements. BSA is an innovative metaheuristic technique based on an iterative process. Various numerical examples of linear array patterns with the prescribed single, multiple, and wide nulls are given to illustrate the performance and flexibility of BSA. The results obtained by BSA are compared with the results of the following seventeen algorithms: particle swarm optimization (PSO), genetic algorithm (GA), modified touring ant colony algorithm (MTACO), quadratic programming method (QPM), bacterial foraging algorithm (BFA), bees algorithm (BA), clonal selection algorithm (CLONALG), plant growth simulation algorithm (PGSA), tabu search algorithm (TSA), memetic algorithm (MA), nondominated sorting GA-2 (NSGA-2), multiobjective differential evolution (MODE), decomposition with differential evolution (MOEA/D-DE), comprehensive learning PSO (CLPSO), harmony search algorithm (HSA), seeker optimization algorithm (SOA), and mean variance mapping optimization (MVMO). The simulation results show that the linear antenna array synthesis using BSA provides low side-lobe levels and deep null levels.

Linear Array Pattern Synthesis Using An Improved Multiobjective Genetic Algorithm

“…Multiobjective optimization for array pattern synthesis has been an academic issue [1][2][3][4][5][6][7][8][9][10]. Thinned arrays have been an object of intense research due to several advantages associated with their lower cost, weight, power, and complexity compared with the fully filled arrays.…”

“…Many algorithms [1], [2] combine these multiple objectives into a single function, typically in, commonly known as aggregating functions. An evolutionary method based on backtracking search optimization algorithm (BSA) is proposed for linear antenna array pattern synthesis with prescribed nulls and lower SLL [2].…”

“…An evolutionary method based on backtracking search optimization algorithm (BSA) is proposed for linear antenna array pattern synthesis with prescribed nulls and lower SLL [2]. The result obtained by BSA outperforms the results of the seventeen algorithms which include particle swarm optimization (PSO), multiobjective evolutionary algorithm based on decomposition (MOEA/D) and nondominated sorting genetic algorithm-II (NSGA-II).…”

Elliptical Antenna Array Synthesis Using Backtracking Search Optimisation Algorithm

“…BSA was used for circular antenna array design 12 . BSA was used to synthesis concentric circular antenna arrays and linear antenna arrays 13,14 . Concentric circular antenna arrays with the low MSLs at a fixed beamwidth were designed 13 .…”

“…Additionally, single, multiple, and broad nulls steering of concentric circular arrays by optimizing only the amplitudes was performed by using BSA. Pattern nulling of linear array using BSA was achieved by computing only the amplitude, position, and phase of antenna array elements 14 . Figure 1 shows the geometry of an elliptical antenna array with N isotropic elements located on x-y plane.…”