Spatial correlation analysis between the secondary users in distributed cognitive radio networks

In cognitive radio (CR) networks, spectrum sensing is a key technology to detect the presence of the Primary user (PR). Cooperative spectrum sensing has been largely investigated because of its success in resolving hiding terminal problem. In cooperative spectrum sensing the distributed CR network has a better adaptability than centralized CR network. In the distributed networks, secondary user need exchange information with his neighbors, so the correlation between neighbors is deserved to be investigated. In the existing scheme, the correlation analysis is mostly based on the distance, and secondary users know the prior location information of PR and other users. In the practical environment the location information maybe not achieved, here we will give a computing method for spatial correlation coefficient based on location-estimating. Simulation results suggest that the proposed method is also effective without location information.