SkyRadar Blog

The SASP Deception Detect is a feature in Electronic Warfare. It is implemented in the SkyRadar FreeScopes Training Suite, developed by SkyRadar, building on the foundation of the Enhanced Kalman Disturbance Filter (EKDF). 

The following video explores the Doppler Phase Shift Enhanced Disturbance Filter, a sophisticated approach designed to improve radar accuracy and effectively detect jamming.

The Doppler Phase Shift Enhanced Disturbance Filter (EDF) is an advanced radar signal processing system designed to effectively handle jammed radar data. It utilizes sophisticated algorithms to distinguish genuine radar reflections from jamming signals, thereby enhancing the radar's ability to accurately detect and track targets even in hostile environments.

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 article introduces an enhanced radar filter designed for training, with features for detecting range deception, incorporating moving target detection and target association for improved accuracy.

In this article we show a video on RGPO-counter-measures enhanced by an MIT and by a Cluttermap in a comparison. We conducted the RGPO with SkySim and the Electronic Warfare extension. The electronic counter-countermeasures are part of the FreeScopes Library.

The RGPO Detection Block is an essential component of a radar system designed to detect and handle range deception data.

In air traffic control, managing radar clutter is essential for ensuring both safety and operational efficiency. This article provides an in-depth look at the use of clutter maps and clutter-map-subtraction techniques, which are employed to filter out stationary and irrelevant objects from radar displays. By focusing on these advanced filtering methods, the article aims to shed light on how radar systems are optimized to allow air traffic controllers to concentrate on tracking moving aircraft.

This article dives into the critical role of zero-velocity filters in air traffic control, highlighting how they improve radar accuracy by eliminating stationary objects from the radar display. A video shows an implementation with SkyRadar FreeScopes.