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International Journal of Antennas and Propagation
Volume 2014 (2014), Article ID 501025, 8 pages
Research Article

Low-Complexity Spatial-Temporal Filtering Method via Compressive Sensing for Interference Mitigation in a GNSS Receiver

1Department of Biomechatronics Engineering, National Pingtung University of Science and Technology, No. 1, Shuefu Road, Neipu, Pingtung County 91201, Taiwan
2Department of Electronic Engineering, National Chin-Yi University of Technology, No. 57, Sec. 2, Zhongshan Road, Taiping District, Taichung 41170, Taiwan

Received 17 February 2014; Revised 17 April 2014; Accepted 22 April 2014; Published 28 May 2014

Academic Editor: Hon Tat Hui

Copyright © 2014 Chung-Liang Chang and Guo-Shing Huang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A compressive sensing based array processing method is proposed to lower the complexity, and computation load of array system and to maintain the robust antijam performance in global navigation satellite system (GNSS) receiver. Firstly, the spatial and temporal compressed matrices are multiplied with array signal, which results in a small size array system. Secondly, the 2-dimensional (2D) minimum variance distortionless response (MVDR) beamformer is employed in proposed system to mitigate the narrowband and wideband interference simultaneously. The iterative process is performed to find optimal spatial and temporal gain vector by MVDR approach, which enhances the steering gain of direction of arrival (DOA) of interest. Meanwhile, the null gain is set at DOA of interference. Finally, the simulated navigation signal is generated offline by the graphic user interface tool and employed in the proposed algorithm. The theoretical analysis results using the proposed algorithm are verified based on simulated results.