Novel Compressed Sensing Algorithm Based on Modulation Classification and Symbol Rate Recognition

Author:

Zhang Yifan,Fu Xuan,Zhang Qixun,Liu Xiaomin

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference12 articles.

1. Federal Communications Commission. (2005). Notice of proposed rule making and order: Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies. ETDocket No. 03–108.

2. Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials, 11(1), 116–130. First Quarter.

3. Zhao, Y. Q., Li, S. Y., Zhao, N., & Wu, Z. L. (2010). A novel energy detection algorithm for spectrum sensing in cognitive radio. Information Technology Journal, 9(8), 1659–1664.

4. Bhargavi, D., & Murthy, C. R. (2010). Performance comparison of energy, matched-filter and cyclostationarity-based spectrum sensing. Signal Processing Advances in Wireless Communications (SPAWC) 2010 IEEE Eleventh International Workshop, 1(5), 20–23.

5. Kyouwoong, K., Akbar, I.A., Bae, K.K., Um, J.S., Spooner, C.M., & Reed, J.H. (2007). Cyclostationary approaches to signal detection and classification in cognitive radio. New Frontiers in Dynamic Spectrum Access Networks (DySPAN). 2007 IEEE 2nd International Symposium, 212–215.

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