A GNSS Interference Identification and Tracking based on Adaptive Fading Kalman Filter

Chang Ho Kang; Sun Young Kim; Chan Gook Park

doi:10.3182/20140824-6-za-1003.01374

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A GNSS Interference Identification and Tracking based on Adaptive Fading Kalman Filter

Chang Ho Kang Sun Young Kim Chan Gook Park

Year: 2014 Journal: IFAC Proceedings Volumes Vol: 47 (3)Pages: 3250-3255 Publisher: Elsevier BV

DOI: 10.3182/20140824-6-za-1003.01374

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Keywords:

GNSS applications Interference (communication) Kalman filter Fading Computer science Chirp Differentiator Algorithm SIGNAL (programming language) Satellite system Control theory (sociology) Frequency domain Noise (video) Electronic engineering Engineering Bandwidth (computing) Telecommunications Computer vision Artificial intelligence Global Positioning System Channel (broadcasting) Physics

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GNSS positioning and interference

Physical Sciences → Engineering → Aerospace Engineering

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

Advanced Frequency and Time Standards

Physical Sciences → Physics and Astronomy → Atomic and Molecular Physics, and Optics

A GNSS Interference Identification and Tracking based on Adaptive Fading Kalman Filter

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