New RFeye Site Features Accelerate Productivity

New enhanced TDOA geolocation algorithm

This new release sees the introduction of an enhanced TDOA algorithm, which offers greatly improved processing speed for TDOA signal geolocation. This results in real-time assignments and multi-mission capabilities – spectrum monitoring and geolocation tasks being run simultaneously on the same Nodes – being carried out at greater speeds and capturing signals faster.

The algorithm also offers an improvement in accuracy when geolocating signals. You are able to carry out TDOA or 3DTDOA missions more effectively and pinpoint a target with greater precision. For example, using a 70km sensor network baseline, we were able to geolocate an aircraft using 3DTDOA 40km outside of the sensor network with accuracy down to 50m.

New detectors – Wi-Fi and Bluetooth

Site v1.47.1 incorporates the ability to automatically detect both Wi-Fi and Bluetooth signals without needing to manually analyze. This time saving addition will be valuable for indoor geolocation and TSCM applications. For example, you can quickly determine whether a signal within the 2.4GHz Wi-Fi band is actually a W-iFi device or perhaps something more sinister, alerting security guards to suspicious signals faster and more efficiently. Differentiating between Wi-Fi and UAS signals will also be quicker and more accurate with this new feature.

Analysis – Cluster filter

When geolocating a moving object such as a drone or aircraft you can sometimes get geolocation “hits” that appear to be way off the object’s trajectory. There are many reasons why these outliers appear but with the latest release of Site you can filter outlier geolocations using the new ‘Cluster filter’ tool to give a cleaner and more precise output.

By enabling the Cluster Filter an estimated position will be displayed in the centroid of the cluster. The Cluster Filter will also reduce the amount of data output in geolocation streaming, useful on low bandwidth networks.