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Telecommunications and Radio Engineering
SJR: 0.203 SNIP: 0.44 CiteScore™: 1

ISSN Druckformat: 0040-2508
ISSN Online: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v78.i12.70
pages 1097-1105

LOCAL OSCILLATOR FREQUENCY OFFSET ESTIMATION FOR LOW COST SDR RECEIVER

Reda Yagoub
Smart Structures Laboratory (SSL), University Center Belhadj Bouchaib of Ain Témouchent, Po Box 284, Ain Témouchent 46000, Algeria
M. Benaissa
Smart Structures Laboratory (SSL),University Center Belhadj Bouchaib of Ain Témouchent, Po Box 284, Ain Témouchent 46000, Algeria; Information Processing and Telecommunications Laboratory (LTIT), Bechar 8000, Algeria
B. Benadda
Bekr Belkaid University of Tlemcen, PO BOX 119, Tlemcen 13000, Algeria
A. Taleb-Ahmed
IEMN DOAE UMR CNRS 8520, Polytechnic University of Hauts-de-France, Valenciennes 59313, France

ABSTRAKT

There are currently many low cost software defined radio (SDR) receivers in the market such as RTL-SDR dongles. These devices can be used to receive the radio frequency (RF) signals in the range of their tuners (front-end). The stability and the accuracy of the local oscillator (LO) among the important aspects that can be affect the performance of SDR receivers. This paper describes a method based GSM signals can be used to determine the frequency offset of the RTL-SDR dongles on MATLAB environment. The developed tool is evaluated using two popular RTL-SDR dongles models with and without temperature controlled local oscillator (TCXO).

REFERENZEN

  1. Mitola, J., (1995) The software radio architecture, IEEE Communications magazine, 33(5), pp. 2638.

  2. Cass, S., (2013) A $40 software-defined radio, IEEE Spectrum, 50(7), pp. 22-23.

  3. Laufer, C., (2015) The Hobbyist's Guide to the RTL-SDR: Really Cheap Software Defined Radio, Create Space Independent Publishing Platform.

  4. Calvo-Palomino, R., Ricciato, F., Giustiniano, D., and Lenders, V., (2017) Less-track: A precise and fast frequency offset estimation for low-cost SDR platforms, Proceedings of the 11th Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization, pp. 51-58. ACM.

  5. Heine, G. and Horrer, M., (1999) GSM Networks: Protocols, Terminology, and Implementation, Artech House, Inc.

  6. Varma, G.N., Sahu, U., and Charan, G.P., (2004) Robust frequency burst detection algorithm for GSM/GPRS, IEEE 60th Vehicular Technology Conference, 6, pp. 3843-3846.

  7. Gabriel, C., Pablo, F., Beatriz, G.S., Carlos, H.V. et al., (2011) GSM Sniffer for "Passive" Radio Infrastructure Mapping - and Channel Characterization, Aalborg university.


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