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 hole detection than the conventional method.