Analysis and Design of Auxiliary Array With Intelligent Optimization for Interference Suppression of Vehicular Communication

The auxiliary array is the key to improving the interference suppression performance in vehicular communication, especially for various operating frequencies of radio communication and unknown directions of interference. In this paper, the effects of the auxiliary array parameters on the interference suppression performance are analyzed, and the maximum acceptable area model is proposed. After deriving and simplifying the analytical solutions of the weights and the signal to interference plus noise ratio (SINR) after interference suppression, the efficient acceptable rule inherits suppression requirements of the communication radio, significantly reducing computational complexity. The proposed model focuses on maximizing the acceptable area in view of this rule. The gain of the auxiliary antenna is also obtained by the proposed model. Based on theoretical analysis, we designed the auxiliary structure, which can fully absorb the advantages of the loading and matching technology and avoid the limitations of the independent strategy. However, the structure parameters, including the topology and components of the antenna, are complex and interactive. Therefore, the intelligent method named the homogeneous Grasshopper optimization algorithm was adopted to consider these parameters comprehensively. Finally, it leads to a remarkable improvement in the optimization efficiency for not only the spacing but also the antenna parameters. Experiments based on communication radio demonstrate that the proposed model is very efficient and promising for auxiliary array optimization, and the implemented antenna achieves ideal radiation characteristics and high gain in a wide frequency band.