This paper focuses on improving the detection performance of spectrum sensing in cognitive radio(CR) networks under complicated electromagnetic environment. Some existing fast spectrum sensing algorithms cannot get sp...This paper focuses on improving the detection performance of spectrum sensing in cognitive radio(CR) networks under complicated electromagnetic environment. Some existing fast spectrum sensing algorithms cannot get specific features of the licensed users'(LUs') signal, thus they cannot be applied in this situation without knowing the power of noise. On the other hand some algorithms that yield specific features are too complicated. In this paper, an algorithm based on the cyclostationary feature detection and theory of Hilbert transformation is proposed. Comparing with the conventional cyclostationary feature detection algorithm, this approach is more flexible i.e. it can flexibly change the computational complexity according to current electromagnetic environment by changing its sampling times and the step size of cyclic frequency. Results of simulation indicate that this approach can flexibly detect the feature of received signal and provide satisfactory detection performance compared to existing approaches in low Signal-to-noise Ratio(SNR) situations.展开更多
The development of cognitive competences for police officers and other officers of the uniformed services is crucial The Police Academy in Szczytno (Poland) developed--as part of a research and development project ...The development of cognitive competences for police officers and other officers of the uniformed services is crucial The Police Academy in Szczytno (Poland) developed--as part of a research and development project (2013-2015)---an innovative diagnostic system for training that allows automated assessment of the current fitness level of cognitive functions and their online training. The system consists of three interconnected modules: diagnostic module, training module, and knowledge base. It is a fully functional online platform. Various forms of cognitive training in the form of games have been proposed. The system includes a component in the form of a psychophysiological recorder, which is intended for the training of coping with stress. The innovativeness of this diagnostic training system involves the use of information systems to stimulate the cognitive competence of officers by designing exercises in the form of computer games and to permit to verify their current mental shapes. It is assumed that this solution will develop the personal skills of officers and positively affect their operational readiness. Extending the area of application of this diagnostic training module by other functionalities can contribute to improving the effectiveness and safety of work, especially in occupational groups performing tasks requiring special cognitive and psychomotor predispositions.展开更多
基金sponsored by National Basic Research Program of China (973 Program, No. 2013CB329003)National Natural Science Foundation of China (No. 91438205)+1 种基金China Postdoctoral Science Foundation (No. 2011M500664)Open Research fund Program of Key Lab. for Spacecraft TT&C and Communication, Ministry of Education, China (No.CTTC-FX201305)
文摘This paper focuses on improving the detection performance of spectrum sensing in cognitive radio(CR) networks under complicated electromagnetic environment. Some existing fast spectrum sensing algorithms cannot get specific features of the licensed users'(LUs') signal, thus they cannot be applied in this situation without knowing the power of noise. On the other hand some algorithms that yield specific features are too complicated. In this paper, an algorithm based on the cyclostationary feature detection and theory of Hilbert transformation is proposed. Comparing with the conventional cyclostationary feature detection algorithm, this approach is more flexible i.e. it can flexibly change the computational complexity according to current electromagnetic environment by changing its sampling times and the step size of cyclic frequency. Results of simulation indicate that this approach can flexibly detect the feature of received signal and provide satisfactory detection performance compared to existing approaches in low Signal-to-noise Ratio(SNR) situations.
文摘The development of cognitive competences for police officers and other officers of the uniformed services is crucial The Police Academy in Szczytno (Poland) developed--as part of a research and development project (2013-2015)---an innovative diagnostic system for training that allows automated assessment of the current fitness level of cognitive functions and their online training. The system consists of three interconnected modules: diagnostic module, training module, and knowledge base. It is a fully functional online platform. Various forms of cognitive training in the form of games have been proposed. The system includes a component in the form of a psychophysiological recorder, which is intended for the training of coping with stress. The innovativeness of this diagnostic training system involves the use of information systems to stimulate the cognitive competence of officers by designing exercises in the form of computer games and to permit to verify their current mental shapes. It is assumed that this solution will develop the personal skills of officers and positively affect their operational readiness. Extending the area of application of this diagnostic training module by other functionalities can contribute to improving the effectiveness and safety of work, especially in occupational groups performing tasks requiring special cognitive and psychomotor predispositions.