An Improved Spectrum Sensing Method Based on Multitaper-Singular Value Decomposition in Cognitive Radio
In order to improve the spectrum hole detection in Cognitive radio (CR), Multitaper Method with Singular Value Decomposition (MTM-SVD) has been proposed. However, how to decide the coefficient in the spatiotemporal complex matrix constructed by MTM-SVD is still under discussion. In this paper, a new scheme, employing array signal processing, for coefficient determination is introduced. Since the sensor used in spectrum sensing is attached with antenna array, the directions of the interference sources can be computed by Multiple Signal Classification (MUSIC) algorithm By using multiple sensors, the position of the interference source can be estimated. Moreover, the coefficient in MTM-SVD is related to the distance between the sensor and the interference source. Therefore, a more proper value of the coefficient will be given and the interference temperature will be estimated more accurately. Simulation results show that, the proposed method has a better performance for spectrum bole detection than the conventional method.
cognitive radio spectrurrt sensing interference temperature multitaper method with singular value decomposion multiple signal classification
Wu Qianqian Xu Chunxiu Wu Muqing Gao Hu
Broadband Communication Network Lab Beijing University of Posts and Telecommunications Beijing, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
619-623
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）