Title: A Novel Interference Suppression Method Based on Eigenanalysis Interference Canceler for Satellite Navigation
Author(s): Yanyun Gong, Ling Wang, Zhaolin Zhang
Published in: Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017)
September 25 - 29, 2017
Oregon Convention Center
Portland, Oregon
Pages: 1241 - 1257
Cite this article: Gong, Yanyun, Wang, Ling, Zhang, Zhaolin, "A Novel Interference Suppression Method Based on Eigenanalysis Interference Canceler for Satellite Navigation," Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 1241-1257.
Full Paper: ION Members/Non-Members: 1 Download Credit
Sign In
Abstract: Satellite navigation system receiver is highly susceptible to active suppression jamming, which causes system failure in positioning. Therefore the anti-jamming receiver is an important field of study. Suppressing interference using conventional adaptive beam-forming algorithms will lead to side-lobe level increase in the anti-jamming applications of satellite navigation when there is interference in the array antenna main-lobe. The peak shift and pattern distortion will reduce the output signal to interference plus noise ratio(SINR). This research propose a novel interference suppression method based on eigenanalysis interference canceler algorithm and the adaptive pattern control (APC). The proposed method effectively solves the problem of pattern distortion and peak offset while suppressing interference. Simulation experiments show that the proposed method has better capability of suppressing interference than other adaptive beam-forming algorithms. Robustness of adaptive beamforming is promoted effectively.