The objective of this project is to design and demonstrate the feasibility of an innovative intelligent spectrum sensing based cognitive radio architecture for cyberspace operations. Specifically, the novel cognitive radio architecture combines intelligent spectrum sensing and dynamic waveform adaptation together to enhance the performance of military communication systems. The intelligent spectrum sensing not only detects the existence of active RF transmissions in the band of interest, but also estimates its important RF parameters such as carrier frequency and symbol rate. A cyclostationary based blind estimator is used to detect the information of the primary users in the cognitive network, which helps the adaptive waveform design. Advanced game theoretic approaches will be utilized to model and solve this joint competitive game in hierarchical spectrum sharing games including primary users, secondary users, persistent jammers and asymmetric information structures. In addition to the theoretical analysis and Matlab based simulation model, we will also deliver a preliminary RF demonstration of the proposed intelligent spectrum sensing, waveform adaption, and resource management technologies via software defined radios.
Benefit: This innovative intelligent spectrum sensing and dynamic waveform adaptation technology can be widely used in various applications, especially the military applications, such as the military satellite communications infrastructure. Additionally, this technology can be applied to other wireless communication systems, both military and commercial, as well. The intelligent spectrum sensing techniques proposed here will also find applications in cognitive electronic warfare (EW)
Keywords: Secondary User, Secondary User, Software Defined Radio, dynamic spectrum access, , game theory, Primary Users, Cognitive Radio Network, Cyclostationary Analysis, Intelligent Spectrum Sensing, RF Parameter Estimation
