基于粒子群算法的UWB脉冲优化设计

摘要

从提高脉冲的频谱利用率和数据传输距离的角度出发,分析了高斯脉冲性能参数(脉冲形成因子和微分阶数)对其频谱产生的影响,提出了一种基于粒子群优化(PSO)算法的高斯导函数线性组合的超宽带(UWB)脉冲波形设计.仿真结果表明,基于粒子群优化算法组合的脉冲能够很好地满足FCC制定的室内辐射掩蔽标准,同时改善了系统链路性能.%To improve the spectrum utilization rate and data transport distance of Gaussian pulse waveform, the influence of Gaussian pulse performance parameters (pulse shape factors and different orders) on its spectrum is analyzed. The UWB pulse design is presented based on Gaussian derivatives linear combination whose weight vector is optimized by Particle Swarm Optimization (PSO) algorithm. The simulation results illustrate that the combined pulse based on PSO can meet FCC indoors emission mask criterion better and improve the link performance.