New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels

this paper we presented a DSP processor to be used as a baseband energy detectorbased spectrum sensingfor cognitive radio (CR) under fading channels. We Derived expression for the average probability of detection over Rayleigh fading channels in easiest form and Nakagami-m channels with no diversity. Novelties of this work came from proposing a multiple antennas signal detection technique for spectrum sensing in a multipath fading environment. Without involving the sampling theorems and the accompanying approximation, we derive closed-form expressions for the probability of detection and false alarm over an additive white Gaussian noise (AWGN) channels for the proposed method. The proposed technique is a low complexity scheme by using two energy detectors and not need prior information about the channel gain in comparison with other methods. Keywords-time Implementation, Cognitive Radio (CR), Energy

[1]  Jie Lai,et al.  Fade margins for minimum duration outages in lognormal shadow fading and Rayleigh fading , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[2]  Biing-Hwang Juang,et al.  Signal Processing in Cognitive Radio , 2009, Proceedings of the IEEE.

[3]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[4]  ZhangRui,et al.  A review on spectrum sensing for cognitive radio , 2010 .

[5]  Jean-Paul M. G. Linnartz,et al.  Performance Analysis of Primary User Detection in a Multiple Antenna Cognitive Radio , 2007, 2007 IEEE International Conference on Communications.

[6]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[7]  J. I. Mararm,et al.  Energy Detection of Unknown Deterministic Signals , 2022 .

[8]  Marco Furini,et al.  International Journal of Computer and Applications , 2010 .

[9]  Vladimir I. Kostylev,et al.  Energy detection of a signal with random amplitude , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[10]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.

[11]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[12]  Matthias Patzold,et al.  Mobile Fading Channels , 2003 .

[13]  S. Haykin,et al.  Modern Wireless Communications , 1939, Nature.

[14]  Joseph Mitola,et al.  The software radio architecture , 1995, IEEE Commun. Mag..

[15]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[16]  Joseph Mitola,et al.  Software radio architecture: a mathematical perspective , 1999, IEEE J. Sel. Areas Commun..

[17]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[18]  Yonghong Zeng,et al.  A Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions , 2010, EURASIP J. Adv. Signal Process..