Phase-Only Beam Broadening of Contiguous Uniform Subarrayed Arrays Utilizing Three Metaheuristic Global Optimization Techniques

TL;DR

This paper introduces three metaheuristic global optimization techniques—simulated annealing, genetic algorithm, and particle swarm—for phase-only beam broadening of contiguous uniform subarrayed arrays, demonstrating their effectiveness through simulations on large arrays.

Contribution

It presents novel application of metaheuristic algorithms for efficient phase-only beam broadening in contiguous uniform subarrayed arrays, filling a gap in existing literature.

Findings

Simulated annealing and particle swarm outperform genetic algorithm in array broadening.

The methods effectively optimize phase settings for large arrays.

Simulation results validate the proposed techniques' efficiency and effectiveness.

Abstract

Radar beam broadening provides continuous coverage of a wider angular extent. While many methods have been published that address beam broadening of traditional (nonsubarrayed) arrays, there is a knowledge gap in the published literature with respect to efficient and effective beam broadening of contiguous uniform subarrayed arrays. This paper presents efficient and effective methods for beam broadening of contiguous uniform subarrayed arrays where elements of the array are grouped together to have the same element excitations. Particularly, this paper focuses on phase-only optimization to preserve maximum power output. The high dimensionality of the solution space of possible phase settings causes brute force techniques to be infeasible for exhaustively evaluating the entire space. This paper presents three metaheuristic global optimization techniques that efficiently and effectively search for optimal phase values in this large solution space that satisfy the desired broadened pattern. The techniques presented in this paper are simulated annealing, genetic algorithm with elitism, and particle swarm optimization. These techniques are evaluated on idealized 40x40 and 80x80 element rectangular arrays with 5x5 element subarrays. The results of this study show that as configured in this paper the simulated annealing and particle swarm techniques outshine the genetic algorithm technique for 40x40 and 80x80 rectangular arrays grouped into contiguous uniform 5x5 element subarrays.