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