Читать книгу Dynamic Spectrum Access Decisions - George F. Elmasry - Страница 58

The previous chapter covered the foundations of sensing techniques. This chapter builds on the previous chapter, covering ROC methodology and the foundations of DSA decision fusion techniques based on the ROC models. Two distinct ROC models were presented. The first is for sensing if a frequency band is occupied or not, which can be performed by an augmented sensor. This ROC model has its own challenges, including addressing the tradeoff between the probability of false alarm and the probability of misdetection. The second ROC model presented in this chapter is the same‐channel in‐band sensing model. The chapter examined how the ROC model can be best utilized to detect interference with the in‐band signal taking advantages of certain signal characteristics such as a constant envelope. This chapter also covered building on the ROC model to generate local decision fusions for augmented sensing and for same‐channel in‐band sensing, and extending decision fusion to the spatial dimension and to distributed cooperative and centralized decision fusion. The next chapter covers creating a hybrid cognitive network decision fusion design, building on the foundations covered in this chapter and the previous chapters.