Adaptive Array Processing for GPS Interference Rejection

David S. De Lorenzo, Jennifer Gautier, Jason Rife, Per Enge and Dennis Akos

Abstract:	One area of active interest in the GNSS community is determining the vulnerability of multi-antenna signal processing algorithms given calibration errors in antennas and analog front-end hardware. Errors introduced by the antennas or by the analog hardware that are not completely mitigated by software or calibration may lead to degradation in steering-vector accuracy. Of interest are the characterization and mitigation of any consequent reduction in C/N0 and biasing of code and carrier phase estimates. When a reference signal is available (as is the case for GPS) and when there may be degradation in steering-vector accuracy (due to hardware errors), then an adaptive mean-square-error based approach may have significant C/N0 advantages. Further, exercising both spatial and temporal degrees of freedom is desirable in maximizing C/N0 for adaptive antenna arrays. Stanford University’s multi-channel hardware testbed demonstrates the feasibility of implementing adaptive array processing for GPS signals in real time.
Published in:	Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005) September 13 - 16, 2005 Long Beach Convention Center Long Beach, CA
Pages:	618 - 627
Cite this article:	De Lorenzo, David S., Gautier, Jennifer, Rife, Jason, Enge, Per, Akos, Dennis, "Adaptive Array Processing for GPS Interference Rejection," Proceedings of the 18th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2005), Long Beach, CA, September 2005, pp. 618-627.
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