Informatietype:
Project
Thema:
Decisive decision making
Unit:
Defence, Safety & Security

CARPET: computer-aided radar performance evaluation tool

Status project

1993 - present

CARPET appeared on the market in 1993 and is presumably the most widely used radar performance assessment program. Since the initial release date radar systems have evolved; solid state RF power generation is now commonplace, like pulse compression, Doppler filtering and tracking. Modern radar systems apply multiple different waveforms per dwell: pulse lengths, RFs and PRFs stagger from pulse to pulse or from burst to burst. CARPET-users therefore requested a new release of CARPET, which is now available: CARPET 3.

CARPET 3 order form

Order CARPET-3

The product comes as a base version with improved functionalities compared to version 2, such as Firm Track Probability calculations and over thirty additional diagrams including PPI-view diagrams. Its functionality can be further extended by a number of plug-ins. With the ‘TERPEM Light’ plug-in, CARPET 3 has the highly advanced EM-propagation model TERPEM on board, which comes from Signal Science Ltd.

Users can import WMO radiosonde code and see how this affects the radar coverage. They can import or construct a refractivity profile. In addition users can position the radar in a landscape and can see what the terrain profile does to radar coverage.

Within the Python plug-in, CARPET 3 also comes with an editor in which users can write or import Python code, making use of CARPET functionality. Other plug-ins, ‘Multi-Burst’ and ‘Multi-scatterer target’ make CARPET 3 more capable to assess the performance of solid-state coherent radars in combination with complex targets.

User documents

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Informatietype:
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6 September 2024
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TNO develops detection system to protect cables and pipelines on seabed

Informatietype:
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6 June 2024
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Informatietype:
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5 December 2023
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Informatietype:
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16 June 2023
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First overview of cyberattack techniques by AI against AI

Informatietype:
News
31 May 2023
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over First overview of cyberattack techniques by AI against AI