Computer Science – Information Theory
Scientific paper
2009-03-06
Computer Science
Information Theory
4 pages, 3 figures, submitted to Crowncom 2009
Scientific paper
In cognitive radio systems, one of the main requirements is to detect the presence of the primary users' transmission, especially in weak signal cases. Cyclostationary detection is always used to solve weak signal detection, however, the computational complexity prevents it from wide usage. In this paper, a fast cycle frequency domain feature detection algorithm has been proposed, in which only feature frequency with significant cyclic signature is considered for a certain modulation mode. Simulation results show that the proposed algorithm has remarkable performance gain than energy detection when supporting real-time detection with low computational complexity.
Da Shan
Hsiao-Hwa Chen
Liang Qian
Xiaoying Gan
No associations
LandOfFree
Fast Cycle Frequency Domain Feature Detection for Cognitive Radio Systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Fast Cycle Frequency Domain Feature Detection for Cognitive Radio Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Fast Cycle Frequency Domain Feature Detection for Cognitive Radio Systems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-135786