Interference DOA estimation and suppression for GNSS receivers using fully augmentable arrays. Issue 3 (1st March 2017)

• Record Type: Journal Article
• Authors: Wang, Xiangrong; Amin, Moeness; Ahmad, Fauzia; Aboutanios, Elias
• Is Part Of: IET radar, sonar & navigation. Volume 11:Issue 3(2017)
• Page Start: 474
• Page End: 480
• Publication Date: 2017-03-01
• Subjects: satellite navigation -- direction‐of‐arrival estimation -- interference suppression -- receiving antennas -- linear antenna arrays -- jamming -- radio spectrum management -- polynomials -- signal detection -- radio receivers; satellite signal protection -- subspace projection -- polynomial rooting -- spectrum sensing -- GNSS receiver coarray -- minimum output power method -- fully augmentable nonuniform linear arrays -- interference direction‐of‐arrival estimation -- open‐loop antijam approach -- Global Navigation Satellite Systems -- interference nulling -- multiple antenna receivers -- interference suppression -- interference DOA estimation; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2016.0296
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : Multiple antenna receivers have been proposed for interference nulling in Global Navigation Satellite Systems (GNSS). An open‐loop anti‐jam approach is considered and an interference direction‐of‐arrival (DOA) estimation technique using fully augmentable non‐uniform linear arrays is introduced. The DOAs of incoming jammers are estimated utilising the minimum output power method applied to the GNSS receiver coarray and through two different approaches of spectrum sensing and polynomial rooting. Subsequently, the strong interferers are cancelled utilising a subspace projection approach, whereas the 30 dB despreading gain of GNSS receivers protects the satellite signals against weak jammers. Supporting simulation results demonstrate that DOA estimation based on polynomial rooting outperforms spectrum sensing and validate the effectiveness of the proposed anti‐jam strategy.