Enhanced GPS interference detection and localisation. Issue 19 (1st September 2014)

• Record Type: Journal Article
• Authors: Bours, A.; Cetin, E.; Dempster, A.G.
• Is Part Of: Electronics letters. Volume 50:Issue 19(2014)
• Page Start: 1391
• Page End: 1393
• Publication Date: 2014-09-01
• Subjects: Global Positioning System -- radiofrequency interference -- time‐of‐arrival estimation -- direction‐of‐arrival estimation -- radio receivers -- signal detection -- correlation methods; GPS interference detection enhancement -- GPS interference localisation enhancement -- Global Positioning System signals -- radio frequency interference -- RFI detection -- safety critical application -- GPS critical infrastructure -- time‐difference‐of‐arrival estimation -- TDOA estimation -- emitter localisation -- signal correlation -- subspace projection‐based approach -- GPS signal removal -- synchronised Spirent GPS signal generators -- NordNav multi front‐end receiver -- RFI localisation; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2014.2248
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Low power levels of global positioning system (GPS) signals make them susceptible to radio frequency interference (RFI) from intentional or unintentional sources. Reliance of safety critical and modern applications on GPS has made GPS critical infrastructure which must be protected. Time‐difference‐of‐arrival (TDOA) is a common approach for locating emitters. The TDOAs are estimated by correlating signals received at different sensor nodes. However, RFI detection can be hampered by the in‐band GPS signals which create undesired correlation peaks that can be mistaken for weak RFI. A sub‐space projection‐based approach for removing the GPS signals and leaving the RFI is proposed, and its performance is evaluated using signals from two synchronised Spirent GPS signal generators captured using a NordNav multi‐front‐end receiver. The results show that the proposed approach can remove the GPS signals, resulting in better RFI detection and localisation performance under various scenarios.