Spectrum Sensing for DMB-T Systems Using PN Frame Headers

Spectrum sensing for the China digital television terrestrial broadcasting system is considered in this paper. The spectrum sensing algorithms utilize PN sequences embedded in the frame headers to perform spectrum sensing. A theoretical lower bound on the misdetection probability for each spectrum sensor presented in this paper is derived. The performances of the proposed spectrum sensing algorithms are demonstrated by computer simulation for the multipath Rayleigh fading and steady state multipath Rayleigh fading channels. Simulation results show that the misdetection probability evaluated by computer simulations is close to the lower bound on the misdetection probability for a steady state multipath Rayleigh channel. When the probability of false alarm is 0.01 and a 50 ms of sensing time is used, a misdetection probability equal to 0.1 is achieved when the signal to noise power ratio is -16 dB, -18.8 dB, and -18 dB for modes 1, 2, and 3 in the multipath Rayleigh fading channel, respectively.

[1]  Joseph Mitola,et al.  Cognitive Radio An Integrated Agent Architecture for Software Defined Radio , 2000 .

[2]  Jun Sun,et al.  An Introduction of the Chinese DTTB Standard and Analysis of the PN595 Working Modes , 2007, IEEE Transactions on Broadcasting.

[3]  Jun Sun,et al.  Digital Terrestrial Television Broadcasting in China , 2007, IEEE MultiMedia.

[4]  Gregory E. Bottomley,et al.  Jakes fading model revisited , 1993 .

[5]  Weiqiang Liang,et al.  A Robust and Adaptive Carrier Recovery Method for Chinese DTTB Receiver , 2008, IEEE Transactions on Broadcasting.

[6]  Chao Zhang,et al.  A Low Complexity Timing Synchronization Algorithm for DTMB Standard , 2008, ICC Workshops - 2008 IEEE International Conference on Communications Workshops.

[7]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[8]  Jian Song,et al.  Robust Frame Synchronization for Chinese DTTB System , 2008, IEEE Transactions on Broadcasting.

[9]  Chintha Tellambura,et al.  Infinite series representations of the trivariate and quadrivariate Rayleigh distribution and their applications , 2005, IEEE Transactions on Communications.

[10]  David G. Daut,et al.  Signature Based Spectrum Sensing Algorithms for IEEE 802.22 WRAN , 2007, 2007 IEEE International Conference on Communications.