Radar systems and EMSO
Radar systems are a critical element of EMSO, providing capabilities for sensing, classifying and tracking both friendly and adversarial assets and movement. The EMS is the medium through which radar signals traveling, making it a contested and congested domain where adversaries may attempt to degrade or disrupt radar functionality.
Challenges to radar operations include:
- Electromagnetic countermeasures, such as jamming or saturating with false information, that hinder the radar receiver’s ability to accurately process signals
- Advanced EW techniques, such as the use of digital radio frequency (DRFM) devices which can be used to create false targets and deceive radar systems
The continuous evolution of radar technology and EW tactics highlights the dynamic nature of EMSO. Both offensive and defensive measures are constantly refined in a never-ending game of cat-and-mouse. To gain superiority in the electromagnetic domain, radar systems must be adaptable and resilient, incorporating features such as frequency agility, advanced signal processing and machine learning (ML) algorithms to cope with the ever-changing EW landscape.
The integration of artificial intelligence (AI) and ML into radar and EW technologies marks a significant opportunity for capability advancement. These cognitive systems can analyze vast amounts of spectrum to identify potential threats and deliver effective countermeasures in real time. This not only improves the survivability of the platform but also supports quicker decision making in a high-stakes environment.