Dual Domain Detection
While other radars may detect one type of threat better than the other, MESA radar delivers equal efficiency, accuracy, and value in both ground and air domains, and at the same time for multiple types of threats (drone, human, vehicle, or boat). It also has a detection range that is much greater than other radars in its weight class and outcompetes sensors such as cameras by maintaining target lock and operating dependably regardless of weather or lighting conditions.
Most effective radar systems, including Echodyne’s MESA radar, utilize micro-Doppler to capture a fourth data dimension – velocity. This provides users with the speed of a target in a given direction in addition to a target’s azimuth, elevation, and range. Processing the micro-Doppler frequency shift is important because it helps radar software distinguish drones from birds, for example. Micro-Doppler also makes it possible to detect hovering drones near or far from a facility and as the drone approaches. This is critical for sites that, in addition to risk of physical breach, have a moderate-to-high-risk of sensitive data being compromised or stolen using a hovering drone carrying a surveillance or data theft device.
Echodyne’s MESA radar produces extremely accurate data which is why it has become a preferred ultra-low SWaP radar for defense and national security missions. The fidelity of the radar data is also ideal when using that data to slew other devices, and when seeking to get more from existing lower-functioning sensors. For example, if a critical infrastructure team wants to use existing or lower-cost camera equipment, MESA radar paired with the right video analytics platform will boost operational effectiveness by aiding in dual verification without the need to upgrade existing camera systems. This is a value for security teams who are closing security gaps and assessing risk while developing plans for future-state security system enhancements.
Echodyne MESA radars are an open platform that utilize application program interfaces (APIs) to request different datasets, which makes it simple to integrate with other sensors and call different data types. Radar data can then be streamed into the fusion layer. There, data from multiple sensors is integrated before being sent to your C2 or VMS software to realize the output of the data, such as slewing a camera. The rapid data exchange rate possible with this radar system eliminates the slew lag common in many conventional, small form-factor radar units. The result: cameras slewed using MESA radar data are more likely to retain target lock, seamlessly, throughout an incident.