Null Steering of Linear Antenna Arrays Using a Modified Tabu Search Algorithm

Abstract

Abstract-A useful and flexible method based on the tabu search algorithm for the pattern synthesis of linear antenna arrays with the prescribed nulls is presented. Nulling of the pattern is achieved by controlling the amplitude-only and both the amplitude and phase of each array element. To show the versatility of the present method, some design specifications such as the sidelobe level, the null depth and the dynamic range ratio are considered by introducing a set of weighting factors in the cost function constructed for the tabu search algorithm. Several illustrative examples of Chebyshev pattern with the imposed single, multiple and broad nulls are given.

An Improved Particle Swarm Optimization Algorithm for Pattern Synthesis of Phased Arrays

“…Therefore, analytical methods are not applicable any more. Several classical methodologies for the phased-array control have been proposed aimed at defining suitable strategies for the optimal synthesis of antenna arrays [4][5][6][7]. It was shown in [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] that the evolutional optimization algorithms such as the genetic algorithm, ant colony optimization, particle swarm optimization and colony selection algorithm are capable of performing better and more flexible solutions than the classical optimization algorithms and the conventional analytical approaches.…”

Improved Artificial Bee Colony for Design of a Reconfigurable Antenna Array With Discrete Phase Shifters

“…When it comes to solve reconfigurable antenna problems, compared with traditional algorithms, evolutionary algorithms have the ability of obtaining excitation phases and amplitudes that can be practically implemented more easily by imposing additional constraints. So it is not uncommon, in the past decade, to see that different kinds of evolutionary algorithms, such as simulated annealing (SA) [4], genetic algorithm (GA) [5,6], particle swarm optimization algorithm (PSO) [7,8], and tabu search algorithm [9], have been advanced to handle reconfigurable antenna problems, especially for the problems of large scale.…”

A Plant Growth Simulation Algorithm for Pattern Nulling of Linear Antenna Arrays by Amplitude Control

“…Furthermore, when the number of elements in the antenna array increases, the computational time to find the values of element amplitudes and phases will also increase. The amplitude-only control [3,7,8,12,15,[17][18][19] uses a set of variable attenuators to adjust the element amplitudes. If the element amplitudes possess even symmetry about the center of the array, the number of attenuators and the computational time are halved.…”

“…Pattern nulling techniques available in the literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] include controlling the amplitude-only, the phase-only, the positiononly, and the complex weights of the array elements. Interference suppression with complex weights is the most efficient because it has greater degrees of freedom for the solution space [1,7]. On the other hand, it is also the most expensive considering the cost of both phase shifter and variable attenuator for each array element.…”