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Study and Analysis of GNSS Signals using In-house Developed Interference Tool

Deepak Mishra, Ram Prabu Ganesan, Alak Banik. Published in Signal Processing.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Deepak Mishra, Ram Prabu Ganesan, Alak Banik

Deepak Mishra, Ram Prabu Ganesan and Alak Banik. Article: Study and Analysis of GNSS Signals using In-house Developed Interference Tool. Communications on Applied Electronics 4(2):32-38, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Deepak Mishra and Ram Prabu Ganesan and Alak Banik},
	title = {Article: Study and Analysis of GNSS Signals using In-house Developed Interference Tool},
	journal = {Communications on Applied Electronics},
	year = {2016},
	volume = {4},
	number = {2},
	pages = {32-38},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


Interference analysis of navigation signals belonging to the same group and with the signals of the satellites belonging to other groups is an important parameter that must be considered while designing a GNSS receiver and for introducing a new signal for any GNSS satellite. Troposphere and ionosphere are the layers of the atmosphere which affect the GNSS signals by creating delays and scintillations. Multipath is one of the major cause which creates maximum error budget at the receiver side of the GNSS system. The error budget differs with the type of correlator that is used. The number of navigations satellites and the services provided by them are increasing fast increasing the interference with other signals. So for this reason analysis of the interference of the signal using C/N0 degradation measurement [ITU recommendation M.1831] and the effect of troposphere, ionosphere and multipath on various signals is necessary.

In this paper, an attempt has been made to develop a tool for interference analysis of the various GNSS signals, using this tool this paper analyses the degradation of the IRNSS signals due to troposphere, ionosphere and multipath effects of the GNSS signals.


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