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Multiple Frequency Tracking and Mitigation Based on RSPWVD and Adaptive Multiple Linear Kalman Notch Filter

Sun Young Kim, Chang Ho Kang, and Chan Gook Park*
International Journal of Control, Automation, and Systems, vol. 18, no. 5, pp.1139-1149, 2020

Abstract : In this paper, the multiple frequency tracking and mitigation method based on the reassigned smoothed pseudo Wigner-Ville distribution (RSPWVD) and an adaptive multiple linear Kalman notch filter (AMLKNF) is proposed to track and mitigate multiple global positioning system (GPS) interference signals. Compared to the conventional notch filters, the AMLKNF has a faster convergence rate and smaller signal loss. However, for using this method, we need to know the notch frequency which is the interference frequency to remove. Thus, we use the RSPWVD method, one of the time-frequency analysis methods. In addition, an adaptation logic is designed in the AMLKNF to adjust the notch depth according to the power of the jamming signal. Matlab-based simulations are performed for analyzing the performance of the proposed method. The simulation results show that the proposed algorithm can efficiently track and eliminate interference well compared to the conventional methods.

Keyword : Adaptive linear Kalman notch filter, global positioning system, multiple frequency tracking and mitigation, reassigned smoothed pseudo Wigner-Ville distribution.

 
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