<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NVNA | Jose Alejandro Galaviz-Aguilar</title><link>https://galaviz-rf.com/tag/nvna/</link><atom:link href="https://galaviz-rf.com/tag/nvna/index.xml" rel="self" type="application/rss+xml"/><description>NVNA</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 Dec 2017 00:00:00 +0000</lastBuildDate><image><url>https://galaviz-rf.com/media/icon_huc0a21cd13d3b330e570311c0697204cf_39767_512x512_fill_lanczos_center_3.png</url><title>NVNA</title><link>https://galaviz-rf.com/tag/nvna/</link></image><item><title>Behavioral Modeling of Chireix Outphasing Power Amplifier</title><link>https://galaviz-rf.com/project/chireix-pa-modeling/</link><pubDate>Fri, 01 Dec 2017 00:00:00 +0000</pubDate><guid>https://galaviz-rf.com/project/chireix-pa-modeling/</guid><description>&lt;h2 id="overview">Overview&lt;/h2>
&lt;p>During my time as a &lt;strong>Visiting Scholar&lt;/strong> (2014–2016) and Ph.D. research at the &lt;strong>RF Nonlinear Research Laboratory&lt;/strong>, Department of Electrical and Computer Engineering, &lt;strong>The Ohio State University&lt;/strong>, I conducted extensive measurement campaigns and behavioral modeling of a Chireix outphasing power amplifier system.&lt;/p>
&lt;h2 id="key-contributions">Key Contributions&lt;/h2>
&lt;ul>
&lt;li>Performed &lt;strong>large-signal dynamic measurements&lt;/strong> of a Chireix PA using a nonlinear vector network analyzer (NVNA) to capture AM-AM, AM-PM distortion curves and dynamic efficiency behavior under modulated signal excitation.&lt;/li>
&lt;li>Developed &lt;strong>NARMA-based behavioral models&lt;/strong> to accurately predict the nonlinear memory effects inherent to outphasing PA architectures, where signal recombination introduces load-dependent distortions.&lt;/li>
&lt;li>Validated models against LTE-Advanced waveforms, demonstrating improved prediction accuracy for efficiency and linearity metrics compared to conventional memoryless polynomial approaches.&lt;/li>
&lt;/ul>
&lt;h2 id="tools--technologies">Tools &amp;amp; Technologies&lt;/h2>
&lt;p>NVNA (Keysight PNA-X), MATLAB, automated RF testbed, signal generators, spectrum analyzers, Keysight ADS.&lt;/p>
&lt;h2 id="impact">Impact&lt;/h2>
&lt;p>This work formed the core of my &lt;strong>Ph.D. dissertation&lt;/strong>: &lt;em>&amp;ldquo;Measurement and Behavioral Modeling of Dynamic Efficiencies and Linearization of an LTE-A Chireix PA&amp;rdquo;&lt;/em> (IPN-CITEDI, 2017), and was supported by an &lt;strong>NSF Scholarship&lt;/strong> (2015–2016).&lt;/p></description></item></channel></rss>