The rapid growth of small, low-cost drones has placed new demands on Electronic Warfare, requiring defensive systems capable of detecting and responding to agile, low-signature threats. A recent comprehensive survey of anti-UAV research offers an in-depth view of how multi-modal sensing, machine learning and adaptive algorithms are reshaping this domain. As a continuation of our series on innovation in EW, this article examines these developments and their implications for future training and defense architectures.
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