<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Technology Basics on Counter UAV Radar — Low-Altitude Surveillance Radar</title>
    <link>https://www.counteruavradar.com/categories/technology-basics/</link>
    <description>Recent content in Technology Basics on Counter UAV Radar — Low-Altitude Surveillance Radar</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Sat, 28 Mar 2026 10:00:00 +0800</lastBuildDate>
    <atom:link href="https://www.counteruavradar.com/categories/technology-basics/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Radar Basics: Mechanical Scan, Phased Array, AESA, and Over-the-Horizon Detection</title>
      <link>https://www.counteruavradar.com/knowledge-base/radar-basics-mechanical-scan-phased-array-aesa-and-over-the-horizon/</link>
      <pubDate>Mon, 28 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://www.counteruavradar.com/knowledge-base/radar-basics-mechanical-scan-phased-array-aesa-and-over-the-horizon/</guid>
      <description>&lt;p&gt;Radar is often described as if it were mysterious or only military. Its core logic is much simpler: send electromagnetic energy into a region, receive the reflected echo, and process the return into information about distance, direction, speed, or movement. What makes radar technically rich is not the basic loop itself. It is the many ways engineers have improved beam control, timing, measurement, and coverage behavior around that loop.&lt;/p&gt;&#xA;&lt;p&gt;For beginners, the most important distinction is not between one brand and another. It is between the major ways radar systems steer attention and solve geometry.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Thermal vs Visible Cameras: Which One Performs Better in Low-Light Conditions?</title>
      <link>https://www.counteruavradar.com/knowledge-base/thermal-vs-visible-cameras/</link>
      <pubDate>Thu, 27 Nov 2025 09:26:00 +0800</pubDate>
      <guid>https://www.counteruavradar.com/knowledge-base/thermal-vs-visible-cameras/</guid>
      <description>&lt;p&gt;Which one performs better in low-light conditions: thermal or visible cameras? In most cases, thermal has the advantage for first-pass awareness when visible light is poor. But that does not mean thermal fully replaces visible imaging, because low-light performance is only one part of the surveillance task.&lt;/p&gt;&#xA;&lt;p&gt;Thermal and visible cameras are often grouped together as &amp;ldquo;optical&amp;rdquo; surveillance, but they do not observe the same thing. A visible camera depends mainly on reflected light in the visible range. A thermal camera works from infrared radiation and heat-related contrast.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Passive vs Active Detection Systems: Key Differences and Deployment Scenarios.</title>
      <link>https://www.counteruavradar.com/knowledge-base/passive-vs-active-detection/</link>
      <pubDate>Mon, 01 Dec 2025 16:08:00 +0800</pubDate>
      <guid>https://www.counteruavradar.com/knowledge-base/passive-vs-active-detection/</guid>
      <description>&lt;p&gt;Passive and active detection systems are not brand categories. They are different sensing philosophies. The key difference is straightforward: active systems provide their own search energy, while passive systems observe energy that already exists in the environment.&lt;/p&gt;&#xA;&lt;p&gt;That difference has direct consequences for range, signature, search behavior, and how the operator should interpret the result.&lt;/p&gt;&#xA;&lt;h2 id=&#34;key-differences&#34;&gt;Key Differences&lt;/h2&gt;&#xA;&lt;p&gt;The most important architectural difference is not only the source of energy. It is also the kind of operational dependence each method creates. Active systems are usually less dependent on target cooperation. Passive systems are usually more dependent on emissions, lighting, contrast, or ambient illumination.&lt;/p&gt;</description>
    </item>
    <item>
      <title>FMCW vs Pulse Radar: Advantages and Limitations Explained</title>
      <link>https://www.counteruavradar.com/knowledge-base/fmcw-vs-pulse-radar-advantages-and-limitations-explained/</link>
      <pubDate>Mon, 16 Feb 2026 16:08:00 +0800</pubDate>
      <guid>https://www.counteruavradar.com/knowledge-base/fmcw-vs-pulse-radar-advantages-and-limitations-explained/</guid>
      <description>&lt;p&gt;FMCW and pulse radar are often introduced as two different ways to build radar. That is correct, but it is not enough for system planning. The important question is how the transmit method changes the rest of the sensing chain, from hardware complexity and power profile to range behavior and mission fit.&lt;/p&gt;&#xA;&lt;p&gt;The better comparison is therefore not only how they work, but what each architecture makes easier or harder.&lt;/p&gt;</description>
    </item>
    <item>
      <title>Detection vs Identification vs Classification: What&#39;s the Difference?</title>
      <link>https://www.counteruavradar.com/knowledge-base/detection-vs-identification-vs-classification-whats-the-difference/</link>
      <pubDate>Thu, 12 Mar 2026 09:56:00 +0800</pubDate>
      <guid>https://www.counteruavradar.com/knowledge-base/detection-vs-identification-vs-classification-whats-the-difference/</guid>
      <description>&lt;p&gt;Detection, classification, and identification are often used loosely in surveillance discussions, but they do not mean the same thing. A system can detect without classifying. It can classify without positively identifying. And it can fail at identification even when the operator clearly knows something is present.&lt;/p&gt;&#xA;&lt;p&gt;That distinction matters because system requirements change at each stage.&lt;/p&gt;&#xA;&lt;h2 id=&#34;a-practical-note-on-terminology&#34;&gt;A Practical Note on Terminology&lt;/h2&gt;&#xA;&lt;p&gt;Different domains sometimes order these words differently. In many engineering workflows, the progression is detection to classification to identification. This article keeps the search phrasing in the title, but the practical logic remains the same: the further the system moves from &amp;ldquo;something is there&amp;rdquo; toward &amp;ldquo;this specific thing is there,&amp;rdquo; the more evidence it needs.&lt;/p&gt;</description>
    </item>
    <item>
      <title>How DRI Criteria Change EO/IR System Selection</title>
      <link>https://www.counteruavradar.com/knowledge-base/how-dri-criteria-change-eo-ir-system-selection/</link>
      <pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://www.counteruavradar.com/knowledge-base/how-dri-criteria-change-eo-ir-system-selection/</guid>
      <description>&lt;p&gt;When a buyer asks, &amp;ldquo;How far can this EO/IR system see?&amp;rdquo;, the answer is usually too vague to be useful. The real question is more specific: how far can it detect, how far can it recognize, and how far can it identify?&lt;/p&gt;&#xA;&lt;p&gt;That is what DRI criteria change. They turn one loose range claim into three distinct visual tasks. Once that happens, field of view, focal length, stabilization, target size assumptions, and even the role of the sensor inside the wider system all need to be re-examined.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
