时频聚集性分析的频谱感知方法

doi:10.3969/j.issn.1001-2400.2012.06.029

Abstract

Abstract:

Aiming at the primary users' signals with single carrier or MSK modulation, a novel spectrum sensing algorithm is proposed based on the time-frequency gathering density analysis. The time-frequency ridge line of the received data's mutual correlation is calculated, with whose statistics the probability vector is formed. The time-frequency gathering density is defined to evaluate the gathering level of the time-frequency dots according to the fact that the signal energy gathers around the carrier frequency and that the noise energy disperses evenly among all frequencies. The gathering threshold is set to judge the existence of the primary user's signal. Simulation indicates that the proposed algorithm is effective for both the normal and fading channel and maintains good detecting performance at lower SNRs and that with the same noise power uncertainty, the false alarm of the proposed algorithm is lower than that of the energy detection method.

ZHENG Wenxiu. Spectrum sensing method for the time-frequency gathering density analysis[J].J4, 2012, 39(6): 176-180+194.

References

［1］ Yucek T, Arslan H. A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications［J］. IEEE Communications Surveys ＆ Tutorials, 2009, 11(1):116-130.
［2］宋朝霞, 周正, 孙璇. 知网络中控制信道受限的协作频谱感知［J］. 西安电子科技大学学报, 2011, 38 (5): 46-51.
Song Zhaoxia, Zhou Zheng, Sun Xuan. Cooperative Spectrum Sensing over the Constrained Control Channel in Cognitive Radio Networks［J］. Journal of Xidian University, 2011, 38 (5): 46-51.
［3］ Shankar S, Cordeiro C, Challapali K. Spectrum Agile Radios: Utilization and Sensing Architectures［C］//Proc IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks. Baltimore: IEEE, 2005: 160-169.
［4］ Qihang P, Kun Z, Jun W, et al. A Distributed Spectrum Sensing Scheme Based on Credibility and Evidence Theory in Cognitive Radio Context［C］//Proc IEEE Int Symposium on Personal, Indoor and Mobile Radio Commun. Helsinki: IEEE, 2006: 1-5.
［5］ Mishra S M, Brink S T, Mahadevappa R, et al. Cognitive Technology for Ultra-wideband/WiMax Coexistence［C］//Proc IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks. Dublin: IEEE, 2007: 179-186.
［6］ Urkowitz H. Energy Detection of Unknown Deterministic Signals［J］. Proceedings of the IEEE, 1967, 55(4): 523-531.
［7］ Tang H. Some Physical Layer Issues of Wide-band Cognitive Radio Systems［C］//Proc IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks. Baltimore: IEEE, 2005: 151-159.
［8］ Digham F, Alouini M, Simon M. On the Energy Detection of Unknown Signals over Fading Channels［C］//Proc IEEE Int Conf Commun: Vol 5. Seattle: IEEE, 2003: 3575-3579.
［9］ Cabric D, Mishra S, Brodersen R. Implementation Issues in Spectrum Sensing for Cognitive Radios［C］//Proc Asilomar Conf on Signals, Systems and Computers: Vol 1. Pacific Grove: IEEE, 2004: 772-776.
［10］ Ghasemi A, Sousa E. Optimization of Spectrum Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks［C］//Proc IEEE Consumer Commun and Networking Conf. Las Vegas: IEEE, 2007: 1022-1026.
［11］ Olivieri M P, Barnett G, Lackpour A, et al. A Scalable Dynamic Spectrum Allocation System with Interference Mitigation for Teams of Spectrally Agile Software Defined Radios［C］//Proc IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks. Baltimore: IEEE, 2005: 170-179.
［12］ Penna F, Garello R, Spirito M. Cooperative Spectrum Sensing Based on the Limiting Eigenvalue Ratio Distribution in Wishart Matrices ［J］. Communications Letters, IEEE, 2009, 13(7): 507-509.
［13］ Oner M, Jondral F. Cyclostationarity Based Air Interface Recognition for Software Radio Systems［C］//Proc IEEE Radio and Wireless Conf. Atlanta: IEEE, 2004: 263-266.
［14］ Kim K, Akbar I A, Bae K K, et al. Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio［C］//Proc IEEE Int Symposium on New Frontiers in Dynamic Spectrum Access Networks. Dublin: IEEE, 2007: 212-215.
［15］郑文秀, 赵国庆, 罗勇江. 跳频信号的跳速估计［J］. 系统工程与电子技术, 2006, 28(10): 1500-1501.
Zheng Wenxiu, Zhao Guoqing, Luo Yongjiang. Hop Rate Estimation for Frequency Hopping Signals［J］. Systems Engineering and Electronics, 2006, 28(10):1500-1501.
［16］ Cohen L. Time-Frequency Analysis ［M］. New Jersey: Prentice-Hall, 1995.
［17］郑文秀. MSK信号的参数估计［J］. 电路与系统学报, 2011, 16(2): 23-27.
Zheng Wenxiu. Parameter Estimation of MSK Signals［J］. Journal of Circuits and Systems, 2011, 16(2): 23-27.
［18］ Dersch U, Ruegg R J. Simulation of the Time and Frequency Selective Outdoor Mobile Radio Channel［J］. IEEE Trans on Veh Technol, 1993, 42(3): 338-344.

Spectrum sensing method for the time-frequency gathering density analysis

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 0

Metrics

Comments

Recommended 4