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A real-time capable software-defined receiver using GPU for adaptive anti-jam GPS sensors.

Jiwon Seo¹, Yu-Hsuan Chen, David S De Lorenzo

¹Department of Aeronautics and Astronautics, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA. jwseo@cs.stanford.edu

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

This study introduces a flexible and cost-effective Global Positioning System (GPS) software-defined radio (SDR) with adaptive beamsteering. The system enhances GPS anti-jam capabilities using parallel processing for improved signal interference resistance.

Keywords:

Global Positioning System (GPS) sensor Graphics Processing Unit (GPU)controlled reception pattern antenna (CRPA)parallel processing radio frequency interference software-defined radio

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Area of Science:

Electrical Engineering
Computer Engineering
Signal Processing

Background:

Global Positioning System (GPS) signals have low power, making them susceptible to radio frequency interference and jamming.
Adaptive beamsteering in GPS antenna arrays enhances resistance to interference but traditionally requires significant computational power, often necessitating hardware solutions like FPGAs.
Software implementations offer greater flexibility and cost-effectiveness but have faced computational challenges.

Purpose of the Study:

To present a GPS software-defined radio (SDR) with adaptive beamsteering capabilities for anti-jam applications.
To demonstrate a flexible and cost-effective software-based solution for enhancing GPS receivers' resistance to interference.
To explore the feasibility of using general-purpose processors for real-time adaptive array processing in GPS.

Main Methods:

Designed a GPS SDR utilizing an optimized desktop parallel processing architecture.
Integrated a quad-core Central Processing Unit (CPU) with a Graphics Processing Unit (GPU) featuring massively parallel processors.
Implemented adaptive beamsteering algorithms for interference and jamming mitigation.
Evaluated the system's performance using synthetic wideband jamming scenarios.

Main Results:

The developed GPS SDR demonstrated sufficient computational power for real-time processing with a four-element antenna array and future GPS L5 signals.
The software-defined radio exhibited significant jamming resistance under synthetic wideband jamming conditions.
The design leverages commercial-off-the-shelf hardware, enabling easier adoption.

Conclusions:

A GPS SDR with adaptive beamsteering can be effectively implemented using a parallel CPU-GPU architecture.
This approach provides a flexible, cost-effective, and computationally capable solution for anti-jam GPS applications.
The developed system is suitable for civil GPS applications requiring enhanced resistance to radio frequency interference and jamming.