GP-JAMMER

GP-Jammer: Powerful RF Jamming Simulation Made Simple

GP-Jammer is an advanced software tool for simulating wide-band RF jamming. Built with an open-source Python library, it generates a range of interference signals, including sophisticated modulation for simulating “smart” jammers. Perfect for researchers and engineers, GP-Jammer enables thorough testing of how different interference patterns affect communication and navigation systems. It’s an essential tool for in-depth analysis and resilience testing to ensure optimal system performance.

Key Features:

  • GNSS Spoofing Simulation: Supports GPS, GLONASS, Galileo, and BeiDou spoofing scenarios.

  • Energy-Efficient Jamming Modulation Simulation: Create interference tailored for suppressing communication and navigation systems with optimized power usage.

  • Coherent Multi-Channel Operation: Achieve precise signal alignment across multiple SDRs for enhanced simulation fidelity.

  • Beamforming Capabilities: Simulate advanced jamming scenarios with directional signal control.

  • Customizable & Flexible: Easily adapt to specific system requirements and integrate with various SDR platforms.

  • Embedded Efficiency: Designed for real-time operation in compact embedded environments.

Key Benefits

Wide Frequency Range

With custom firmware for Adalm Pluto SDRs, GP-Jammer covers 70 MHz to 6 GHz with up to 56 MHz signal bandwidth per channel, enabling comprehensive interference testing.

Advanced Interference Library

The software includes a library of unique, complex jamming signals written in Python, allowing you to unleash your creativity and tailor interference patterns to your specific testing needs.

Multi-Channel Jamming Simulation

With no load on the computer’s processor, the software can manage an unlimited number of connected SDRs at once. This makes our solution both unique and highly cost-effective for multi-band jamming simulations.

No Processor Load

Custom firmware for Adalm Pluto allows IQ samples to be preloaded into SDR memory and played in a continuous loop. This approach eliminates the need for real-time IQ data calculation and streaming.

Open-Source Python Library

Utilize a fully open-source Python library for sophisticated signal generation, allowing users to customize and adapt interference patterns as needed.

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