On The Beam Forming Characteristics of Linear Array Using Nature Inspired Computing Techniques
Beamforming is a serious problem in wireless communication. Many deterministic and numerical techniques are proposed to achieve beamforming. However, the application of evolutionary computing techniques produced better results over many existing conventional methods. In this paper, one such attempt of applying a novel nature inspired technique known as Firefly algorithm (FFA) to demonstrate beamforming in linear arrays and compared with particle swarm optimization (PSO) The desired objectives of the synthesis process are defined as sidelobe level (SLL) suppression and null positioning. The optimal set of amplitude distribution for the elements in the linear array is obtained using the technique in order to achieve the desired objectives. The results are evaluated in terms of radiation pattern plots. Index Terms Antenna array, Firefly algorithm, particle swarm optimization.