Abstract

Meeting emission masks set by regulation authorities is a typical task demanded of the pulse shaper. In particular, the release of the FFC emission masks for ultra-wideband (UWB) devices for the short-range and high data rate, stimulated research in designing pulse shaping techniques capable of closely approximating the mask, that is, the maximum possible transmit power under FCC limits to avoid the interference with co-existing applications and get better performance when transmitted in a multiple access system. In this paper, we investigate the possibility of obtaining the optimal waveform as a linear combination of different derivative function of the Gaussian pulse, each being characterized by weight coefficient and shape factor. In the proposed method a recently swarm intelligence algorithm, namely Firefly Algorithm (FA) is applied to optimizing its weight coefficients and shape factors of linear combination on spectrum distribution, which is achieved using the FA to minimize the least square error. Based on the newly proposed pulse, the bit error ratio (BER) performance of the binary pulse position modulation with time-hopping multiple access is analyzed under standard Gaussian approximation. Compared with random combined pulse, the simulation results show that the pulse designed based on FA has higher pulse energy matching the spectral limits of UWB and better BER performance.

中文翻译：

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使用萤火虫算法的超宽带脉冲设计方法

摘要

满足监管机构设置的发射掩模是脉冲整形器的典型任务。特别是，针对短距离和高数据速率的超宽带（UWB）设备的FFC发射掩模的发布，激发了人们在设计能够紧密接近掩模（即最大可能的发射功率）的脉冲整形技术方面的研究。在FCC限制下，可避免对共存应用程序的干扰，并在多址系统中传输时获得更好的性能。在本文中，我们研究了获得最佳波形的可能性，该波形是高斯脉冲的不同导数函数的线性组合，每个函数都由权重系数和形状因子来表征。在提出的方法中，最近采用了群体智能算法，即采用萤火虫算法（FA）来优化其权重系数和频谱组合上线性组合的形状因子，这是通过使用FA使最小平方误差最小化来实现的。基于新提出的脉冲，在标准高斯近似下分析了具有跳时多址访问的二进制脉冲位置调制的误码率（BER）性能。与随机组合脉冲相比，仿真结果表明，基于FA设计的脉冲具有更高的脉冲能量，与UWB的频谱极限相匹配，并且BER性能更好。在标准高斯近似下，分析了具有时跳多址访问的二进制脉冲位置调制的误码率（BER）性能。与随机组合脉冲相比，仿真结果表明，基于FA设计的脉冲具有更高的脉冲能量，与UWB的频谱极限相匹配，并且BER性能更好。在标准高斯近似下，分析了具有时跳多址访问的二进制脉冲位置调制的误码率（BER）性能。与随机组合脉冲相比，仿真结果表明，基于FA设计的脉冲具有更高的脉冲能量，与UWB的频谱极限相匹配，并且BER性能更好。