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Energy detection is a simple spectrum sensing technique that compares the energy in the received signal with a threshold to determine whether a primary user signal is present or not. Setting the threshold is very important to the performance of the spectrum sensing. This paper proposes an adaptive spectrum sensing algorithm where an optimal decision threshold of energy detection is derived based on...
Accurate spectrum sensing is the key technique of cognitive networks. According to characteristic of random matrix, a cooperative spectrum sensing algorithm is proposed, which is based the eigenvalue of the signals covariance matrix. Regarded the average eigenvalue of the signals received at the different nodes as the average noise power, the ratio of maximum eigenvalue to average eigenvalue is used...
Cooperative spectrum sensing is a key technology to tackle the challenges such as fading or hidden terminal problem in local spectrum sensing of cognitive radio system. Conventional cooperative method can improve the detection performance in some sense, but increase overhead of control channel. In order to reduce the overhead, a new cooperative spectrum sensing algorithm based on confidence level...
Due to the geographical locations of cognitive users (namely secondary users, SUs) and the effect of shadowing and fading in channel, the primary user (PU) signal power received at SU is different from each other. In this paper, a weighted decision fusion (WDF) algorithm is proposed to improve the detection reliability. The weighted factors are calculated according to their received PU signal powers...
It is a challenging problem in the ultra-wideband (UWB) system to be interfered by narrowband wireless systems or to interfere narrowband wireless systems. Cognitive radio technology has a ability to learn and sense the radio environment. It would detect the spectrum used and enables UWB system to avoid the interference. This paper addresses the strategy of anti-interference in UWB system based on...
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