Spectrum sensing methods for detection of DVB-T signals in AWGN and fading channels

In this paper, we consider spectrum sensing of DVB-T signals in different fading environments. We compare state-of-the-art detectors including detectors based on pilot subcarriers, as well as detectors for general OFDM signals that exploit the correlation structure incurred by the cyclic prefix. Energy detection is also included for comparison. We show numerically that the choice of detector depends on the scenario, the detector requirements, and on the available prior knowledge. We also show that it is possible to obtain good detection performance by exploiting the correlation, even in a frequency selective channel.

[1]  Harry L. Van Trees,et al.  Detection, Estimation, and Modulation Theory, Part I , 1968 .

[2]  Erik G. Larsson,et al.  Optimal and near-optimal spectrum sensing of OFDM signals in AWGN channels , 2010, 2010 2nd International Workshop on Cognitive Information Processing.

[3]  H. Vincent Poor,et al.  Autocorrelation-Based Decentralized Sequential Detection of OFDM Signals in Cognitive Radios , 2009, IEEE Transactions on Signal Processing.

[4]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[5]  Zhongding Lei,et al.  IEEE 802.22: The first cognitive radio wireless regional area network standard , 2009, IEEE Communications Magazine.

[6]  R. Tandra,et al.  Fundamental limits on detection in low SNR under noise uncertainty , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[7]  J. Mitola,et al.  Software radios: Survey, critical evaluation and future directions , 1992, IEEE Aerospace and Electronic Systems Magazine.

[8]  Erik G. Larsson,et al.  Cognitive radio in a frequency-planned environment: some basic limits , 2008, IEEE Transactions on Wireless Communications.

[9]  Anant Sahai,et al.  Some Fundamental Limits on Cognitive Radio , 2004 .

[10]  Vinod Subramaniam,et al.  Digital video broadcasting (DVB); framing structure, channel coding and modulation for digital terr , 2001 .

[11]  H. Urkowitz Energy detection of unknown deterministic signals , 1967 .

[12]  Danyo Danev On signal detection techniques for the DVB-T standard , 2010, 2010 4th International Symposium on Communications, Control and Signal Processing (ISCCSP).