Interference Temperature Estimation Based on the Detection and Estimation of Angles of Arrival, of Multiple Wide-Band Sources in Cognitive Radiz Sensor Networks
Majority of evaluation methods on interference temperature algorithms are based on the assumption that either the interference signals or the users signals are no directions. This is a mathematical constraint that is not satisfied in many applications. In fact, without consideration the signal directions increase estimation interference temperature, that is, reduce the frequency utilizing chance for users. In this paper, we consider situations where the interference signals and users signals have directions in cognitive radio sensor networks. We propose an algorithm that estimates the interference temperature of this model using a generalization of the DOA (direction of arrival) algorithm. From this, we find the interference temperature and show that it does become smaller. We compare our method to the conventional (without considering directions) algorithm. The simulation studies show that the new method outperforms the conventional algorithm by reducing the estimation interference temperature and improving the frequency spectrum efficiency.
Interference Temperature DOA Cognitive Radio
Wei Ma Mu Qing Wu Guan nan Li Ning Zhang
School of Information and Telecommunication Engineering Beijing University of Posts and Telecommunic PLA Communication and Command Institute, Wuhan 430010, China
国际会议
Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)
南昌
英文
1073-1076
2009-05-22（万方平台首次上网日期，不代表论文的发表时间）