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Influence of Input Pulse Shape on RF Generation in Nonlinear Transmission Lines

机译:输入脉冲形状对非线性传输线中射频产生的影响

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Nonlinear transmission lines (NLTLs) are nonlinear LC ladder networks that can act as a nonlinear and dispersive medium, thus allowing the generation of soliton bursts. Several papers have been published indicating that NLTLs offer a new option for pulse shaping and RF generation. In this paper, we investigated the response of an NLTL driven by three different pulse shapes: a rectangular, a half sine, and a triangular waveform. The performance of the NLTL was evaluated through time- and frequency-domain analysis of the RF signal sampled at the 29th section of a 30-section capacitive NLTL. The frequency of the generated RF signal is correlated with the shape of the input signal, whereby the output frequency can be adjusted by the amplitude-time characteristics of the pulse at the input of the capacitive NLTL. Higher frequency oscillations, around 30 MHz, were generated by the rectangular wave train due to its shorter rise time. The propagation of solitons along the NLTL is influenced by the input pulse rise time. Namely, the rectangular pulse showed smaller delay time as it had the shortest rise time (less than 10 ns). Maximum efficiency was obtained for the input pulsewidth of 150 ns under a duty cycle of 1/3 for the three pulse shapes (rectangular, half sine, and triangular), and this combination of parameters yielded the highest RF conversion efficiency of the NLTL. The capacitive NLTL showed a higher RF conversion efficiency (16.4%) when driven by the rectangular input signal.
机译:非线性传输线(NLTL)是可以用作非线性弥散介质的非线性LC梯形网络,因此可以生成孤子爆发。已经发表了几篇论文,表明NLTL为脉冲整形和RF生成提供了新的选择。在本文中,我们研究了由三种不同脉冲形状驱动的NLTL的响应:矩形,半正弦和三角波形。通过对在30段电容式NLTL的第29段采样的RF信号进行时域和频域分析来评估NLTL的性能。所产生的RF信号的频率与输入信号的形状相关,从而可以通过电容性NLTL的输入处的脉冲的幅度-时间特性来调节输出频率。由于矩形波列的上升时间较短,因此会在30 MHz附近产生较高的频率振荡。孤子沿NLTL的传播受输入脉冲上升时间的影响。即,矩形脉冲的上升时间最短(小于10 ns),因此延迟时间更短。在三种脉冲形状(矩形,半正弦和三角形)的占空比为1/3的情况下,输入脉冲宽度为150 ns时,在150 ns的输入脉冲宽度下获得了最高效率,并且这种参数组合产生了NLTL最高的RF转换效率。当由矩形输入信号驱动时,电容式NLTL表现出更高的RF转换效率(16.4%)。

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