Three-dimensional anti-jamming array processing for GNSS-based navigational aid inspection

Olivia Wolfley; David Schvartzman; Brandon Mansur; Jakob D. Fusselman; Yan Rockee Zhang; Brad Snelling

doi:10.1117/12.2618524

27 May 2022 Three-dimensional anti-jamming array processing for GNSS-based navigational aid inspection

Olivia Wolfley, David Schvartzman, Brandon Mansur, Jakob D. Fusselman, Yan Rockee Zhang, Brad Snelling

Proceedings Volume 12108, Radar Sensor Technology XXVI; 121080D (2022) https://doi.org/10.1117/12.2618524
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

We studied the technique and solutions of applying anti-jamming beamforming processing to the measured three-dimensional (3D) radiation patterns of GNSS antennas. We developed a small-scale, 2X3 custom array for demonstrating the GPS-L1 band operation. The process of measuring the 3D patterns is described. The visualization of individual and combined element pattern measurements serves as the basis for algorithm selections. The performance of anti-jamming post-processed beamforming and 3D pattern generation is evaluated using the measured pattern data. The technique and measurement process will be beneficial for the analysis of both civilian and military GNSS-based landing and navigational flight systems.

Conference Presentation

Citation Download Citation

Olivia Wolfley, David Schvartzman, Brandon Mansur, Jakob D. Fusselman, Yan Rockee Zhang, and Brad Snelling "Three-dimensional anti-jamming array processing for GNSS-based navigational aid inspection", Proc. SPIE 12108, Radar Sensor Technology XXVI, 121080D (27 May 2022); https://doi.org/10.1117/12.2618524

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