Why RF Drone Detection?

May 20, 2021 | Jeffrey Starr

D-Fend Solutions often leads discussions that encompass both detection and mitigation, due to our end-to-end full incident lifecycle capabilities. Sometimes, though, we find it useful to break up the discussion into separate capability stages. This month, we’re focusing on detection. Obviously, if you cannot detect a drone, you have a significantly reduced chance of effectively mitigating it, or of collecting intelligence on how to prevent future rogue drone incursions.

For detection requirements, organizations will often conduct a self-assessment: what is the surrounding environment like? (terrain, noise level, line-of-sight).  What type of drones does the organization expect to be detecting most of the time? Which resources, assets and staff will be allocated to drone detection?

Following that assessment, it is important for an organization’s technology evaluators to review the fundamentals of counter-drone detection, including the pros and cons of each of the main detection technology types.

D-Fend Solutions’ new white note, Traditional Drone Detection Technologies vs. RF Cyber-Drone, reviews the various traditional counter-drone detection technologies: radars, electro-optical, directional finders and acoustic solutions. It then highlights the wide gap between these solutions and radio frequency (RF) based solutions that are integrated with cyber-takeover mitigation technology.

RF drone detection is not reliant on clear lines of sight, is not interfered by bad weather or acoustic noise, and even RF noise can easily be filtered out.

 

 

 

 

 

 

 

 

 

Jeffrey Starr is the Chief Marketing Officer at D-Fend Solutions. He brings a track record of generating revenue and building market leadership through visionary business strategies, inspired marketing and insightful direction for rapid and sustained growth. Fast-growing companies in the information, security, compliance and risk management sectors have employed Jeffrey in CMO and executive roles.

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