Blind Spectrum Sensing Algorithm Based on Blind Signal Separation in Cognitive Radar

In recent years, there has been a growing interest in the design and analysis of cognitive radar system. The spectrum sensing is the important component of the cognitive Radar. In this paper, a new blind spectrum sensing algorithm based on blind signal separation is proposed. Different from the traditional spectrum sensing technology such as energy detection, this paper utilizes the high-order statistics to separate the received signal of the cognitive Radar and takes high-order statistics as the statistical decision metric to formulate certain criteria to decide the existence of the primary user. Simulation results show that the proposed method enhances the detection performance especially when the cognitive radar is in operation in Cognitive radar system.