Name
Abstract | ||
|---|---|---|
Spectrum sensing is an essential technique for cognitive radios. This paper addresses the spectrum sensing under uncertain noise power and proposes an adaptive spectrum sensing algorithm. The adaptive decision threshold of energy detection is derived, which is based on the weighted probability of detection and probability of false alarm. By means of estimating noise power and signal power, the decision threshold is able to adapt to the noise fluctuation. Simulation results show that the proposed algorithm has robustness to the noise uncertainty. It can be used for detecting various kinds of signal without any knowledge of noise power or signal power. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/icc.2011.5962493 | ICC |
Keywords | Field | DocType |
noise fluctuation,false alarm probability,noise power estimation,cognitive radio,adaptive decision threshold,cognitive radios,noise uncertainty,signal detection,signal power estimation,adaptive spectrum sensing algorithm,probability,detection weighted probability,frequency domain analysis,probability of detection,sensors,spread spectrum communication,signal to noise ratio,ofdm | Noise power,Noise floor,Noise measurement,Noise (signal processing),Computer science,Signal-to-noise ratio,Algorithm,Stochastic resonance,Direct-sequence spread spectrum,Gaussian noise | Conference |
Volume | Issue | ISSN |
null | null | 1550-3607 E-ISBN : 978-1-61284-231-8 |
ISBN | Citations | PageRank |
978-1-61284-231-8 | 14 | 0.99 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shibing Zhang | 1 | 39 | 7.03 |
| Zhihua Bao | 2 | 44 | 10.32 |