排序方式: 共有7条查询结果,搜索用时 15 毫秒
1
1.
2.
对于目标的攻击、干扰和探测,超宽带时域脉冲源的幅值直接影响其攻击、干扰和探测的强度和效果。基于雪崩晶体管的Marx电路被广泛应用在产生此类信号源上,传统的Marx电路可以一定程度上提高输出电压的幅值,但由于雪崩晶体管功率容量较低等原因,雪崩晶体管的Marx电路输出电压幅度会随级数增加而达到饱和。针对此类问题,为了产生更高幅值的脉冲信号,综合采用提高触发信号和使用宽带功率合成器的手段。最终利用26级Marx电路作为触发信号,4路40级Marx电路进行功率合成的方法,实现了输出电压幅值为8.7 kV、上升沿约为180 ps的技术指标,并通过机理分析了高触发信号对雪崩晶体管Marx电路的影响,通过实验得到了印证。 相似文献
3.
4.
GaAs与InP半导体光导开关特性实验研究 总被引:1,自引:0,他引:1
利用Ⅲ-Ⅴ族化合物半导体材料砷化镓(GaAs)和磷化铟(InP)及其掺杂材料制作的光导开关具有很好的时间响应及高功率输出特性.比较了这两种材料制作的不同电极间隙类型的光导开关的开关时间响应速度、导通光能与饱和触发激光能量、线性与非线性工作模式及触发稳定性等特性.结果表明,利用InP和GaAs两种材料制作的光导开关都具有达到皮秒级的超快时间响应,其对时间最佳响应与偏置电场有关.两种开关的多次触发时间抖动在几个皮秒范围,输出电压峰峰值抖动优于10%.GaAs开关的非线性工作电场阈值比InP开关低,更容易实现非线性输出. 相似文献
5.
6.
7.
We present a percolation process in which the classical Erdo¨s–Re′nyi(ER) random evolutionary network is intervened by the product rule(PR) from some moment t0. The parameter t0is continuously tunable over the real interval [0, 1].This model becomes the random network under the Achlioptas process at t0= 0 and the ER network at t0= 1. For the percolation process at t0≤ 1, we introduce a relatively slow-growing point, after which the largest cluster begins growing faster than that in the ER model. A weakly discontinuous transition is generated in the percolation process at t0≤ 0.5.We take the relatively slow-growing point as the lower pseudotransition point and the maximum gap point of the order parameter as the upper pseudotransition point. The critical point can be approximately predicted by each fitting function of the two points about t0. This contributes to understanding the rapid mergence of the large clusters at the critical point.The numerical simulations indicate that the lower pseudotransition point and the upper pseudotransition point are equal in the thermodynamic limit. When t0> 0.5, the percolation processes generate a continuous transition. The scaling analyses of several quantities are presented, including the relatively slow-growing point, the duration of the relatively slow-growing process, as well as the relatively maximum strength between the percolation percolation at t0< 1 and the ER network about different t0. The presented mechanism can be viewed as a two-stage percolation process that has many potential applications in the growth processes of real networks. 相似文献
1