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[ADS仿真] ADS中LineCalc中的电长度怎样计算?电长度和微带线长度之间的计算公式是什么?

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发表于 2016-5-17 13:12 | 只看该作者 |只看大图 回帖奖励 |倒序浏览 |阅读模式

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( f% i: [. {3 N0 J7 l/ Q  mADS中LineCalc中的电长度怎样计算?电长度和微带线长度之间的计算公式是什么?) x: t/ C' h! t% s- e
我在计算微带线的物理长度L时需要输入电长度,但不知道其中的计算公式。
+ I/ C  s' _- U6 S另外怎样用微带线替换电容电感?其计算公式是什么?) `* g1 b$ k5 A* H4 ?& A  b
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发表于 2016-5-19 20:21 | 只看该作者
phase=omega*t=v*2*pi*t/lambda=v*beta*t=length*beta=length*2*pi/lambda
( g  O( A1 |( jphase degree=phase*360/(2*pi)
4 [7 b+ E5 h. o; S, a
( ]/ f0 y7 [: D* S+ u* u5 M3 R微带线替代电容电感需要用到richard和kuroda变换。分别用固定的电气长度以及串并等效转换获得感容到微带线的变换。
7 b% f2 h$ Y) y" T! a+ }较简单的处理是使用史密斯圆变换。: w3 z+ I. _+ B% m. K  A
) }* u! C6 Q3 J' }1 e
新年伊始,稳中求胜

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 楼主| 发表于 2016-5-20 14:41 | 只看该作者
那怎样用史密斯圆图等效变换呢?怎样验证?
2 g5 V0 @: C4 P. U( g

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发表于 2016-5-20 14:48 | 只看该作者
难道我应该把史密斯圆的原理全部copy进来么?$ I7 ?, i, X2 c( G
ADS的功能很多,大多基于射频原理,请复习一下。
新年伊始,稳中求胜

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5#
 楼主| 发表于 2016-5-20 15:43 | 只看该作者
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 楼主| 发表于 2016-5-20 15:55 | 只看该作者
   * X3 p4 @( e9 u3 a8 k8 Y4 A7 ?& s
那我说一下我的过程 你看对吗。
; z* C: P5 w+ @; Q# N  D假设等效一段接地的微带线其电感值为0.45nH; 计算微带线的长和宽。微带线要接地
( @# L/ j  m: l5 S8 v第一步  知道工作频率为2.45GHz 特性阻抗为79ohm,计算的电感电抗值为X=j*w*L=J2pi*2.45GHz*0.45nH=j6.927。归一化为 j0.0876." m# ~* @& v/ b! d
第二步 打开ADS史密斯圆图工具,在史密斯圆图上的归一化阻抗拦填上计算值(如史密斯圆图中所示),就会得到相应的电长度。
" H# ^$ I) P3 l* j) R( W第三步 打开Linecalc工具,在linecalc中输入参数,在linecalc中输入电长度和特性阻抗  算出其等效微带线的长和宽(如linecalc图所示)。微带线要接地。8 m. b! U7 U& s! p

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发表于 2016-5-20 16:44 | 只看该作者
本帖最后由 cousins 于 2016-5-20 16:52 编辑 ' P6 f3 H' [/ v) p) U! _, F" J
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1.首先用smithchard来做转换时要确定一点,你的等效微带线相移依然为八分之一波长,这个定量可以帮助你省掉很多计算。: e( K9 f6 ^) S- \7 k: p
2.并联电感替换为微带应该是用短截线,短截线的特征阻抗为电感的感抗的模。
# r" I. y2 E" Q3.并联电容替换为应该是用开路线,开路线的特征阻抗为电容的容抗的模。- R4 H% M/ D2 c$ R; C: Y1 ]
4.如果你要使用串联电感/电容,那么必须用Kuroda转换来替换。替换出对应的微带线和并联值后再换成对应的微带线。也可以简单的直接用将串联电感/电容后的输入导纳1的值作为等效微带中并联电容/电感后的输入阻抗2的值,然后再将输入阻抗2串联50ohm走线,那么这个并联的走线和串联的50ohms走线就是你转换后的等效串联电感/电容。, w) c2 u  J8 b/ d7 L, G4 A& r
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 楼主| 发表于 2016-5-20 16:51 | 只看该作者
你说的这是理查兹变换和黑则等效吧。我就想利用ADS计算出来,你说的是要手工算吧。就用ads怎样操作?
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发表于 2016-5-20 16:53 | 只看该作者
我说了要手工计算的方法,也补充了只用直接在smithchart上画阻抗线的方法。
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 楼主| 发表于 2016-5-25 09:05 | 只看该作者
大神,能举个例子说明吗?谢谢你7 }- l5 x- |; p/ k; g
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