GP Jammer

Product description

Multi-Channel RF Jamming Simulator for GNSS and Communication Systems
(Note: This item is available. Sales restricted to research institutions and government agencies with appropriate authorization.)

The GP-Jammer is a software-defined, multi-channel RF jamming simulator specifically designed for the development and testing of GNSS and communication systems under realistic interference conditions. It is ideally suited for applications in drone technology, critical infrastructure, and research and development.
It is fully programmable and can be controlled and customized using Python scripts.

Highlights

• Multi-Channel Capability: Supports multiple simultaneous transmission channels, ideal for complex test scenarios.

• Wide Frequency Range: Simulates RF interference from 70 MHz to 6 GHz.

• Open Python Library: Allows creation and customization of jamming signals using various modulation techniques.

• Compatibility with Adalm Pluto SDR: Uses custom firmware to efficiently process and transmit IQ data.

• Advanced Modulation Techniques: Supports complex modulations such as AWGN, chirp signals, and GPS C/A-code interference.

Versatile Applications

• Drone Resilience Testing: Evaluate the robustness of drones against GNSS jamming and spoofing attacks.

• Research and Development: Investigate the effects of various jamming signals on communication systems.

• Security Assessments: Test system vulnerability to RF interference in critical infrastructure.

Available Licenses

• 1-Channel License: For basic tests and single-channel devices.

• 3-Channel License: Ideal for testing GNSS receivers across multiple bands.

• 6-Channel License: Recommended for comprehensive drone testing, including control, telemetry, and GNSS resilience.

• Unlimited Channels: For advanced testing scenarios with multiple sources and complex modulations.
  
  
   

Applications

• Authorized GNSS resilience testing
• Research and development in controlled test environments
• Assessment of GNSS interference resilience