Beamforming Optimization of Linear and Planar Antenna Array Using a New Algorithm Based on the Corrosion Diffusion Behavior

This paper presents a new optimization algorithm that efficiently can optimize the beamforming of the linear and planar antenna arrays. The new algorithm is called the corrosion diffusion optimization algorithm (CDOA) because its concept is concluded from the behavior of the corrosion distribution on the metal surfaces. The general performance of the new algorithm is compared with some other important algorithms via some standard benchmark functions. This comparison results in about 100% success rate for the proposed algorithm with high execution speed and low complexity compared to the other algorithms. Subsequently, CDOA is applied to solve some of the antenna array beamforming problems by optimizing the amplitude of the antenna weights vector and/or the inter-element spacing between the elements of the array. The algorithm results in a side lobe ratio larger than 22 dB in solving the problem of enhancing the side lobe ratio. Besides, CDOA operates efficiently in generating a flat top and triangular beam shaping with enhanced side lobe ratio. Furthermore, all the jamming signals are perfectly eliminated in the anti-jamming antenna array system when optimizing the weights vector of the array using the proposed algorithm. For each beamforming problem, the outcomes of CDOA are compared with other optimization algorithms to highlight its superiority in solving these kinds of problems.