Cyclo-Stationary Sensing of OFDM Waveforms in the Presence of Receiver RF Impairments

Reliable spectrum sensing is the key requirement for secondary users to utilize the spectrum in the absence of primary users. Given the widespread deployment of OFDM modulation in recent and future multimedia broadcasting and wireless broadband services, reliable spectrum sensing of OFDM waveforms is of great interest in cognitive radios. Although feature detection methods outperform energy detection ones, however they are generally more sensitive to RF impairments. In this paper, we have investigated the effects of a non-ideal receiver RF chain on the performance of the Pilot-Aided Cyclo-Stationary Detection (PACSD). Our study demonstrates how the performance of PACSD degrades due phase noise and carrier frequency offset while it is more tolerant to I/Q imbalances.

[1]  Babak Daneshrad,et al.  Spectrum Sensing of OFDM Waveforms Using Embedded Pilot Subcarriers , 2010, 2010 IEEE International Conference on Communications.

[2]  Joy Laskar,et al.  A wideband analog multi-resolution spectrum sensing (MRSS) technique for cognitive radio (CR) systems , 2006, 2006 IEEE International Symposium on Circuits and Systems.

[3]  Babak Daneshrad,et al.  Spectrum Sensing of OFDM Waveforms Using Embedded Pilots in the Presence of Impairments , 2012, IEEE Transactions on Vehicular Technology.

[4]  Ali H. Sayed,et al.  Compensation schemes and performance analysis of IQ imbalances in OFDM receivers , 2005, IEEE Transactions on Signal Processing.

[5]  Ana García Armada,et al.  Understanding the effects of phase noise in orthogonal frequency division multiplexing (OFDM) , 2001, IEEE Trans. Broadcast..

[6]  R.W. Brodersen,et al.  Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[7]  William A. Gardner,et al.  Signal interception: a unifying theoretical framework for feature detection , 1988, IEEE Trans. Commun..

[8]  Ning Han,et al.  OFDM Signal Sensing Method Based on Cyclostationary Detection , 2007, 2007 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[9]  D. Cabric Addressing feasibility of cognitive radios , 2008, IEEE Signal Processing Magazine.

[10]  R.W. Brodersen,et al.  Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[11]  Yamaguchi Hirohisa Detection-and-Avoidance(DAA) Technology for UWB -- Challenges to share the frequency resource , 2006 .