DocumentCode :
1711462
Title :
Automatic communication standard recognition in wireless smart home networks
Author :
Kuba, M. ; Klatt, M. ; Ronge, K. ; Weigel, R.
Author_Institution :
Fraunhofer Inst. for Integrated Circuits, Nuremberg, Germany
fYear :
2012
Firstpage :
270
Lastpage :
274
Abstract :
Automatic recognition of communication standards is a crucial task, if universal interoperability between different communication systems is claimed. A gateway performing the recognition task can be used to interconnect heterogeneous systems with different and incompatible protocol waveforms. This paper proposes an algorithm for the automatic recognition of various communication standards used for wireless smart home networks in the European 868 MHz Short-Range Device frequency band. Relevant statistical key features are extracted from the received signal and the recognition is based on threshold comparison. The algorithm is appropriate for the implementation in low-complexity embedded systems and works over a wide range of signal-to-noise ratios (SNR).
Keywords :
embedded systems; feature extraction; home networks; internetworking; network servers; open systems; protocols; radio networks; telecommunication standards; European short-range device frequency band; SNR; automatic communication standard recognition; feature extraction; frequency 868 MHz; gateway; incompatible protocol waveform; interconnect heterogeneous system; low-complexity embedded system; received signal extraction; signal-to-noise ratio; universal interoperability; wireless smart home network; Binary phase shift keying; Classification algorithms; Communication standards; Signal processing algorithms; Signal to noise ratio; Wireless communication; cognitive radio; modulation recognition; pattern classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-2070-3
Type :
conf
DOI :
10.1109/CCNC.2012.6181100
Filename :
6181100
Link To Document :
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