<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Drone Tracking on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/drone-tracking/</link><description>Recent content in Drone Tracking on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 12 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/drone-tracking/index.xml" rel="self" type="application/rss+xml"/><item><title>Achieving Advanced Capabilities: RF Tomography &amp;amp; Drone Tracking</title><link>https://ai-blog.noorshomelab.dev/quadrf-phased-array-sdr-2026-07/advanced-capabilities-rf-tomography-drone-tracking/</link><pubDate>Sun, 12 Jul 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/quadrf-phased-array-sdr-2026-07/advanced-capabilities-rf-tomography-drone-tracking/</guid><description>&lt;h2 id="achieving-advanced-capabilities-rf-tomography--drone-tracking"&gt;Achieving Advanced Capabilities: RF Tomography &amp;amp; Drone Tracking&lt;/h2&gt;
&lt;p&gt;Imagine a world where you could detect movement behind walls or precisely track small drones using radio waves. This isn&amp;rsquo;t science fiction; it&amp;rsquo;s the promise of advanced Software-Defined Radio (SDR) systems combined with phased array antennas. In this chapter, we&amp;rsquo;ll dive into how a conceptual system like the QuadRF phased-array radio leverages a blend of high-performance digital signal processing (DSP) and embedded computing to achieve such capabilities.&lt;/p&gt;</description></item></channel></rss>