Cooperative Compressed Spectrum Sensing Model for Regional Radio Monitoring

Detection and direction finding of illegal emission source is the core issue of radio monitoring network. However, the performances of traditional fixed stations and mobile stations which are based on energy detection and work individually are often compromised with multipath fading and shadowing in urban environment. To mitigate the impact of these issues, a cooperative compressed spectrum sensing model which consists of several sensing nodes and a fusion node is proposed in this paper. The maximum-minimum eigenvalue based detection method is applied to the sensing model. Simulation results show that cooperative compressed sensing provides an efficient way to sense radio signal which is sparse at frequency domain.