Multiple interferences suppression method based on adaptive signal data regrouping for GNSS receivers. Issue 6 (11th April 2018)

• Record Type: Journal Article
• Authors: Guo, Qiang; Qi, Liangang; Xiang, Jianhong; Ruan, Guoqing
• Is Part Of: IET radar, sonar & navigation. Volume 12:Issue 6(2018)
• Page Start: 641
• Page End: 648
• Publication Date: 2018-04-11
• Subjects: array signal processing -- regression analysis -- frequency modulation -- radiofrequency interference -- satellite navigation -- antenna arrays -- interference suppression; singular value ratio spectrum -- received signals -- periodic components -- period estimation method -- minimum common period -- WBPFM interfering signals -- regroup the signal data -- GNSS signals -- wide‐band interferences -- antenna elements -- multiple interferences suppression method -- adaptive signal data -- GNSS receivers -- wide‐band interfering signals -- antenna array -- global navigation satellite system receivers -- generalised periodic property -- sparse property -- wide‐band periodic frequency -- (WBPFM) signals; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2017.0410
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : The number of wide‐band interfering signals which can be suppressed by an antenna array is limited to the number of antenna elements. To address this problem, a multiple interferences suppression method based on adaptive signal data regrouping for global navigation satellite system (GNSS) receivers is proposed on the basis of analysing the generalised periodic and sparse property of the wide‐band periodic frequency modulated (WBPFM) signals. By exploiting the feature of the singular value ratio (SVR) spectrum of received signals containing periodic components, the authors introduce an improved SVR‐based period estimation method to estimate the minimum common period (MCP) of WBPFM interfering signals. Regroup the signal data to construct space–time (ST) matrixes according to the estimated MCP. Then, an orthogonal minimum power distortionless response‐based ST processor is adopted to nullify the interferences and protect GNSS signals. Simulation results show that the proposed method can suppress more wide‐band interferences without increasing the number of antenna elements.