In order to achieve accurate interference detection in complex electromagnetic environments, a two-step cooperative stochastic resonance energy detection (TCSRED) algorithm is proposed to address the problem, where the traditional energy detection (ED) performance is susceptible to noise uncertainty. By combining two thresholds and two-step cooperation, the generalized stochastic resonance is applied to the energy detection, which effectively reduces the complexity and detection time. In particular, when a certain decision result is obtained in the first step of detection, the decision is finished and the second step of detection is unnecessary. Otherwise, the second step of detection is performed to obtain the final decision result. Simula...
In cognitive radio, spectrum sensing is a key component for securing the licensed terminal from inte...
In the case of strong background noise, a tri-stable stochastic resonance model has higher noise uti...
One of the main challenges in cognitive radio (CR) communications lies in the system robustness to u...
In sensing systems, nodes must be able to rapidly detect whether a signal from a primary transmitter...
Noise power uncertainty is a major issue in energy-based spectrum sensors. Any uncertainty in the no...
This letter concerns energy detection (ED) under interferences from surrounding users, where the cha...
Käsikirjoitus avataan, kun artikkeli julkaistu.The analyzed system model in this paper is a distribu...
Under certain conditions, addition of noise can enhance performance of suboptimal detectors, which i...
This paper considers the stochastic resonance (SR) effect in the two hypotheses signal detection pro...
Spectrum sensing has received abundant attention from the research community. However, with sensing ...
This paper develops the mathematical framework to analyze the stochastic resonance (SR) effect in bi...
Energy detection is best suited for the detection of licensed users when prior knowledge about them ...
The performance of collaborative spectrum sensing using censored energy detection is analyzed. Unlik...
This paper investigates the problem of stochastic resonance in some non-parametric detection schemes...
Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of...
In cognitive radio, spectrum sensing is a key component for securing the licensed terminal from inte...
In the case of strong background noise, a tri-stable stochastic resonance model has higher noise uti...
One of the main challenges in cognitive radio (CR) communications lies in the system robustness to u...
In sensing systems, nodes must be able to rapidly detect whether a signal from a primary transmitter...
Noise power uncertainty is a major issue in energy-based spectrum sensors. Any uncertainty in the no...
This letter concerns energy detection (ED) under interferences from surrounding users, where the cha...
Käsikirjoitus avataan, kun artikkeli julkaistu.The analyzed system model in this paper is a distribu...
Under certain conditions, addition of noise can enhance performance of suboptimal detectors, which i...
This paper considers the stochastic resonance (SR) effect in the two hypotheses signal detection pro...
Spectrum sensing has received abundant attention from the research community. However, with sensing ...
This paper develops the mathematical framework to analyze the stochastic resonance (SR) effect in bi...
Energy detection is best suited for the detection of licensed users when prior knowledge about them ...
The performance of collaborative spectrum sensing using censored energy detection is analyzed. Unlik...
This paper investigates the problem of stochastic resonance in some non-parametric detection schemes...
Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of...
In cognitive radio, spectrum sensing is a key component for securing the licensed terminal from inte...
In the case of strong background noise, a tri-stable stochastic resonance model has higher noise uti...
One of the main challenges in cognitive radio (CR) communications lies in the system robustness to u...