Title :
Cyclostationarity-based spectrum sensing properties for signals of opportunity
Author :
Rahman, Md Lushanur ; Figueiredo e Silva, Pedro ; Lohan, Elena-Simona
Author_Institution :
Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
Abstract :
Performance enhancement in indoor positioning is one of the main concerns in recent days. Seeking such improvements, developments in navigation systems are employing Signals of Opportunity (SoO), meaning signals not originally developed for positioning purposes, such as wireless communication signals and Ultra Wideband (UWB) signals. Cyclostationary methods can provide necessary tools for signal detection for these systems. The detection part is only the first step towards cognitive positioning, and this is the part addressed in this paper. However, this work is not limited to cognitive positioning area, but it can find its usability in cognitive spectrum sensing as well. The aim of this paper is to provide a better understanding of the cyclostationary spectrum sensing properties of the most encountered modulations techniques for the SoO signals, namely CDMA, OFDM and TH-PPM UWB.
Keywords :
OFDM modulation; code division multiple access; cognitive radio; indoor radio; radio spectrum management; signal detection; CDMA; OFDM; TH-PPM UWB; cognitive positioning; cognitive spectrum sensing; cyclostationarity-based spectrum sensing; cyclostationary methods; cyclostationary spectrum sensing; indoor positioning; navigation systems; signal detection; signals of opportunity; ultra wideband signals; wireless communication signals; Multiaccess communication; OFDM; Probability density function; Sensors; Signal to noise ratio; Wireless communication; Cyclostationary detector; signals of opportunity; spectrum sensing;
Conference_Titel :
Wireless and Mobile Computing, Networking and Communications (WiMob), 2014 IEEE 10th International Conference on
Conference_Location :
Larnaca
DOI :
10.1109/WiMOB.2014.6962200
