31 lines
34 KiB
Markdown
31 lines
34 KiB
Markdown
---
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title: 混频器杂散
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updated: 2022-01-08 13:54:59Z
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created: 2022-01-08 13:18:07Z
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---
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0//EN" "http://www.w3.org/TR/REC-html40/strict.dtd">
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<p style="-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-family:'Tahoma'; font-size:10pt;"><br /></p>
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<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">混频器杂散主要是m*RF ± n*LO</span></p>
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<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">以HMC557为例，其杂散典型抑制如下图</span></p>
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<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><img 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" /></p>
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<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">其中，</span></p>
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<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">♥ </span><span style=" font-family:'Tahoma'; font-size:10pt; font-weight:600;">1*RF ± n*LO</span><span style=" font-family:'Tahoma'; font-size:10pt;">需要着重关注，因为</span></p>
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<ol style="margin-top: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; -qt-list-indent: 1;"><li style=" font-family:'Tahoma'; font-size:10pt;" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">混频器自身对这些杂散抑制能力有限</li>
|
||
<li style=" font-family:'Tahoma'; font-size:10pt;" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">RF的谐波一般在预选带外，自身信号幅度也低；LO却无法有效滤波且幅度高</li></ol>
|
||
<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">另外一个需要关注的是</span><span style=" font-family:'Tahoma'; font-size:10pt; font-weight:600;">2*RF ± 2*LO</span><span style=" font-family:'Tahoma'; font-size:10pt;">，因为</span></p>
|
||
<ol style="margin-top: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; -qt-list-indent: 1;"><li style=" font-family:'Tahoma'; font-size:10pt;" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">混频器自身对这些交调抑制能力有限</li>
|
||
<li style=" font-family:'Tahoma'; font-size:10pt;" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">此时引起杂散的RF可能就在预选带内</li></ol>
|
||
<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">m+n>4的高次情况一般不着重考虑，毕竟幅度很低</span></p>
|
||
<p style="-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px; font-family:'Tahoma'; font-size:10pt;"><br /></p>
|
||
<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">分析杂散时预选滤波器分段内</span></p>
|
||
<ol style="margin-top: 0px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; -qt-list-indent: 1;"><li style=" font-family:'Tahoma'; font-size:10pt;" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">总杂散数量尽量少</li>
|
||
<li style=" font-family:'Tahoma'; font-size:10pt;" style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;">着重分析杂散中以上提到的杂散种类</li>
|
||
<li style=" font-family:'Tahoma'; font-size:10pt;" style="-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><br /></li>
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<li style=" font-family:'Tahoma'; font-size:10pt;" style="-qt-paragraph-type:empty; margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><br /></li></ol>
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<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">从</span><a href="nyf://entry?dbfile=&itemid=54&itemtext=RSA306B"><span style=" font-family:'Tahoma'; font-size:10pt; text-decoration: underline; color:#0000ff;">RSA306B</span></a><span style=" font-family:'Tahoma'; font-size:10pt;">的指标测试手册中获取信息如下：</span></p>
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<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">杂散主要考虑由于RF‘与本振的多次谐波混频所产生的信号落入IF带内，故RF’=|n*LO</span><span style=" font-family:'Tahoma'; font-size:10pt; font-weight:600;">±</span><span style=" font-family:'Tahoma'; font-size:10pt;">IF|</span></p>
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<p style=" margin-top:0px; margin-bottom:0px; margin-left:0px; margin-right:0px; -qt-block-indent:0; text-indent:0px;"><span style=" font-family:'Tahoma'; font-size:10pt;">如果RF预选跨过倍频程，还需要考虑</span><span style=" font-family:'Tahoma'; font-size:10pt; font-weight:600;">2*RF ± 2*LO</span><span style=" font-family:'Tahoma'; font-size:10pt;">是否落入IF带内</span></p></body></html> |