SkyRadar Blog

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.

This video introduces into the MTI algorithm in SkySim - the technical radar simulator.

This video shows the record and replay function and suggests learning arrangements where record and replay can enable new learning arrangements.

This video shows SkySim's noise jamming features. It's the most common and most simply approach of jamming. It is also the easiest to detect and uncover.

This video describes the features of the technical radar simulator.

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

Apart of the linear Kalman filter, SkyRadar also presents an implementation of the interacting multiple model (iMM) filter for object tracking.

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.

The following video explains in detail the 2 Dimensional CFAR.