Visible to the public A Fully Adaptive Lattice-based Notch Filter for Mitigation of Interference in GPS

TitleA Fully Adaptive Lattice-based Notch Filter for Mitigation of Interference in GPS
Publication TypeConference Paper
Year of Publication2019
AuthorsArif, Syed Waqas, Coskun, Adem, Kale, Izzet
Conference Name2019 15th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)
ISBN Number978-1-7281-3549-6
Keywordsadaptive filters, Adaptive Notch Filter, adaptive notch filtering, anti-jamming, Bandwidth, deterrence, direct form second order, fully adaptive lattice-based notch filter, Global Navigation Satellite Systems, Global Positioning System, GPS modelling platform, GPS receivers, GPS specific applications, Human Behavior, intentional interference, Interference, jamming, Lattice-Based Notch Filter, narrowband interference, notch filter structures, notch filters, notch frequency, pubcrawl, Receivers, resilience, Resiliency, Satellites, Scalability, Signal to noise ratio

Intentional interference presents a major threat to the operation of the Global Navigation Satellite Systems. Adaptive notch filtering provides an excellent countermeasure and deterrence against narrowband interference. This paper presents a comparative performance analysis of two adaptive notch filtering algorithms for GPS specific applications which are based on Direct form Second Order and Lattice-Based notch filter structures. Performance of each algorithm is evaluated considering the ratio of jamming to noise density against the effective signal to noise ratio at the output of the correlator. A fully adaptive lattice notch filter is proposed, which is able to simultaneously adapt its coefficients to alter the notch frequency along with the bandwidth of the notch filter. The filter demonstrated a superior tracking performance and convergence rate in comparison to an existing algorithm taken from the literature. Moreover, this paper describes the complete GPS modelling platform implemented in Simulink too.

Citation Keyarif_fully_2019