Square-Law Combining Double-threshold Energy Detection in Nakagami Channel
Zhengquan Li, Peng Jia Shi, Wanpei Chen, Yan Yan · International Journal of Digital Content Technology and its Applications · 2011
In cognitive networks, cooperative spectrum sensing can increase detection performance significantly. In this paper, square-law combining technique is chosen as cooperative diversity scheme in energy detecting when the wireless environment is modeled as Nakagami channel. Moreover, we use double-threshold algorithm to reduce the effect caused by noise uncertainty. Error detection probability is derived to analyze the effect of noise interference. We show that our cooperative scheme restrains the effect of noise interference greatly. Further more, square-law combining technology can greatly decrease weak detecting performance caused by double-threshold energy detection algorithm partly.