SkyRadar Blog

Arnold Bistri

Experienced Field Specialist with a demonstrated history of working in the information technology and services industry. Skilled in Antennas, FEKO, CST Microwave Studio, Matlab, and Cadence Virtuoso. Strong operations professional with a Master of Science - MS focused in Electrical, Electronics and Communications Engineering from University of Stuttgart.

A Short Video-Explanation of the Kalman Filter Shown in FreeScopes ATC II (Video)

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.

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SkySim - Radar Simulator with Moving Target Indication MTI (Video)

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

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Record & Replay in FreeScopes - Possibilities to Enhance Your Training Arrangements (Video)

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

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SkySim - Noise Jamming with SkyRadar's Technical Radar Simulator

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.

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SkySim - Feature Overview of SkyRadar's Technical Radar Simulator (Video)

This video describes the features of the technical radar simulator.

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Barrage-Noise Jamming Detection with FreeScopes

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

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iMM Tracking - Extension of the Kalman Filter on Lateral Positions

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

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Tracking for Pulse Radars – the Kalman Filter

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.

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2-Dimensional Constant false alarm rate CFAR Explained Using FreeScopes (Video)

The following video explains in detail the 2 Dimensional CFAR.

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