Abstract
Since the research on compatibility is becoming a worldwide “hot spot”, decision has been made to improve the anti-jamming performance between satellite systems. Nowadays, primarily been driven, amongst other motivations, by the desire to ameliorate the compatibility performance of GNSS, speculation has continued on the possibility of further optimization. Of special interests is the inter-system interference that one satellite navigation system will suffer due to another satellite navigation system. This paper reports our recent studies in seeking methods for analyzing the inter-system interference.
It has become clear that CDMA is selected to be used as a modulation method for most satellite navigation systems, except for GLONASS which uses FDMA. Methods for analyzing code division performance are generally based on the correlation characteristics of PRN. Nevertheless, actual inter-signal interference rests also with the correlation characteristics of signal waveforms, with contributions such as code phase error, data bit reversal, Doppler frequency shift and code waveform, etc. closely associated.
This paper is structured as follows: it begins to introduce the current modulation methods of GNSS signals. Then the analysis methodology of inter-system interference between GNSS recommended by International Telecommunication Union is provided. Besides, coefficient accounting signal-to-noise ratio reduce at correlator output due to inter-system interference is proposed in detail. Hereafter, calculation results of coefficients among several kinds of GNSS signals and inter-system interference between GPS L5 and Compass B2a are presented. Finally, conclusions are drawn as to which two signals have greater interference on each other and how to design navigation signals to improve compatibility performance of GNSS.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Chengyan, H., Xiaochun, L., Yan, B., Jinping, S. (2012). Analysis Methodologies of GNSS Inter-system Interference. In: Kim, H. (eds) Advances in Technology and Management. Advances in Intelligent and Soft Computing, vol 165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29637-6_37
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DOI: https://doi.org/10.1007/978-3-642-29637-6_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29636-9
Online ISBN: 978-3-642-29637-6
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