In cognitive radio, the detection probability of primary user affects the signal receiving performance for both primary and secondary users significantly. In this paper, a new Dempster-Shafer （D-S） algorithm with cr...In cognitive radio, the detection probability of primary user affects the signal receiving performance for both primary and secondary users significantly. In this paper, a new Dempster-Shafer （D-S） algorithm with credit scale for decision fusion in spectrum sensing is proposed for the purpose to improve the performance of detection in cognitive radio. The validity of this method is established by simulation in the environment of multiple cognitive users who know their signal to noise ratios （SNR） and a central node. The channels between the cognitive users and the central node are considered to be additive white Ganssian noise （AWGN）. Compared with traditional data fusion rules, the proposed D-S algorithm with credit scale provides a better detection performance.展开更多
基金Supported by the National High Technology Research and Development Programme of China （No. 2007AA01Z268）, National Natural Science Foundation of China （No. 60702028）and the Starting Ftmd for Science Research of NJUST （AIM1947）.
文摘In cognitive radio, the detection probability of primary user affects the signal receiving performance for both primary and secondary users significantly. In this paper, a new Dempster-Shafer （D-S） algorithm with credit scale for decision fusion in spectrum sensing is proposed for the purpose to improve the performance of detection in cognitive radio. The validity of this method is established by simulation in the environment of multiple cognitive users who know their signal to noise ratios （SNR） and a central node. The channels between the cognitive users and the central node are considered to be additive white Ganssian noise （AWGN）. Compared with traditional data fusion rules, the proposed D-S algorithm with credit scale provides a better detection performance.
