Performance Analysis of Low SWaP-C Jamming Mitigation Methods for Commercial Applications

Scott Burchfield, Scott Martin, David Bevly, Joshua Starling

Abstract:	With the growing reliance upon GPS in the civilian sector, GPS need to be resilient to accidental and intentional interference threats. The Newark Airport incident, COTS PPDs, and other cases are prime examples of the need for resilient PNT in the civilian market. This paper implements four low SWaP-C (size, weight, power, and cost) mitigation methods and compares them in an attempt to determine the best algorithm for assured PNT. The algorithms analyzed are wavelet-implemented adaptive notch filter (WANF), SVD based FIR power minimization, space-time adaptive processing (STAP), and adaptive noise canceling. The first two algorithms use a signal antenna, and last two algorithms use two antennas. The algorithms are compared against an array of jamming scenarios, all of which originate from 3 main jamming types: continuous wave (CW) tone, narrowband noise, and chirp. The comparison between algorithms is quantified by analytical carrier to noise power density(CC/NN0) degradation at different jammer to signal (JJ/SS) power ratios and center frequency offsets, bandwidths, and sweep rates. The “mitigated” signal data is processed with a GPS L1 C/A receiver, and the receiver’s signal tracking CC/NN0 estimate is used to validate the analytical solutions. The analytical solution holds true for the wavelet implemented algorithm, the SVD based algorithm and the spacetime adaptive processing algorithm, but breaks down for the adaptive noise canceling algorithm. The results are analyzed and the conclusions are drawn based on the results.
Published in:	Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020) September 21 - 25, 2020
Pages:	3592 - 3611
Cite this article:	Burchfield, Scott, Martin, Scott, Bevly, David, Starling, Joshua, "Performance Analysis of Low SWaP-C Jamming Mitigation Methods for Commercial Applications," Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020), September 2020, pp. 3592-3611. https://doi.org/10.33012/2020.17676
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