1.0Siglent Websitehttps://www.siglent.com/my/Zhou, Verahttps://www.siglent.com/my/author/vera-zhou/rich600338<blockquote class="wp-embedded-content" data-secret="QQRK1sRuGJ"><a href="https://www.siglent.com/my/spectrum-analyzer-based-noise-figure-measurement/">Spectrum Analyzer-based Noise Figure Measurement</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.siglent.com/my/spectrum-analyzer-based-noise-figure-measurement/embed/#?secret=QQRK1sRuGJ" width="600" height="338" title="“Spectrum Analyzer-based Noise Figure Measurement” — Siglent Website" data-secret="QQRK1sRuGJ" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://www.siglent.com/wp-includes/js/wp-embed.min.js </script> https://www.siglent.com/wp-content/uploads/2024/09/噪声系数2.jpg840460应用案例 Created with Pixso. 请求报价 基于频谱分析仪的噪声系数测试 噪声系数（Noise Figure）简称NF，是射频微波器件的一个基本特性参数，是衡量放大器、接收机甚至系统的一个重要指标，是一个传统的射频微波测试项目。噪声系数描述被测件DUT内部噪声程度，对信噪比的恶化程度，即输入信噪比和输出信噪比的比值。 应用场景 Created with Pixso. Y因子法测试 Created with Pixso. 冷源法（功率法）测试 Created with Pixso. 附加相噪法测试 解决方案 SSA5000A-NF噪声系数测量选件基于SSA5000系列频谱和信号分析仪，为工程师提供了一个可以快速有效地进行的噪声系数测量的工具。是射频器件、模块和整机噪声系数和增益测量的理想方案。   相关产品 更多方案