SkyRadar Blog

The Enhanced Kalman Disturbance Filter is a feature developed by SkyRadar. It is part of its training radar system, designed to detect and handle range deception data using the Kalman Filter and the most recent RGPO detection features. This block includes several sub-functions, each serving a specific purpose in the processing of incoming radar reflections to identify and manage potential range deceived targets.

This video illustrates how to monitor moving targets through various alternative algorithms. It provides an easy to follow introduction into the setup of a radar block diagram and its scopes (A-Scope, PPI) using previously recorded IQ data.

This video compares the MTD algorithm and the Kalman filter. The use case is a moving target, in this particular case a person moving zig zag in front of SkyRadar's 8 GHz NextGen Pulse radar.

This article presents the Kalman filter in text and video. It is implemented in FreeScopes ATC II and works with live data, recorded data and simulation.

SkyRadar's FreeScopes module "Disturbance Filtering & Analysis I" provides two algorithms for barrage jamming detection.

One of the most powerful statistical estimation techniques, which is widely applied in navigation, radar tracking, satellite orbit determination, autonomous driving, and many other fields is the Kalman filter. This digital filter provides a quite accurate estimation of the next state (position, movement, temperature, etc.) from any possible noisy input signal, in real time, which makes it very suitable for radar navigation and tracking purposes.

One of the most powerful statistical estimation techniques, which is widely applied in navigation, radar tracking, satellite orbit determination, autonomous driving, and many other fields is the Kalman filter.