In order to reduce hardware cost and system complexity, sub-array partition is necessary for large array antennas. Traditional sub-array partition methods are mainly aiming at the single performanceoptimisation of be...
详细信息
In order to reduce hardware cost and system complexity, sub-array partition is necessary for large array antennas. Traditional sub-array partition methods are mainly aiming at the single performanceoptimisation of beampattern. Therefore, this study proposes a multiple performance parameters optimisation method based on particle swarm optimisation (PSO). In the proposed method, the multi-objective optimisation problem is converted into a single-objective problem, and then dynamic inertia weights and learning factors are used in the algorithm. Based on the proposed method, the signal processing performances can be improved compared with the traditional methods. Through the simulation of the division of the linear array, the effectiveness of the proposed method is verified.
暂无评论