Low-complexity spatial-temporal filtering method via compressive sensing for interference mitigation in a GNSS receiver

in Sciences Citation Index(SCI), 科學引文索引資料庫(SCI)
標題Low-complexity spatial-temporal filtering method via compressive sensing for interference mitigation in a GNSS receiver
出版類型SCI(Sciences Citation Index)
出版年度2014
AuthorsChung-Liang Chang, 張仲良, & Guo-Shing Huang 黃國興
出版日期2014 / 5
其他編號0000
中文摘要

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.

網址http://www.hindawi.com/journals/ijap/2014/501025/
期刊名稱International Journal of Antennas and Propagation
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