Name
Title | ||
|---|---|---|
Multi-dimensional Anderson-Darling statistic based goodness-of-fit test for spectrum sensing |
Abstract | ||
|---|---|---|
In this paper, we propose a multi-dimensional extension of the Anderson-Darling statistic based goodness-of-fit lest for spectrum sensing in a cognitive radio network with multiple nodes. A technique lo evaluate the optimal detection threshold that satisfies a constraint on the false-alarm probability is discussed. Assuming stationary and known noise statistics, we show that this detector, called as the K-sample Anderson-Darling statistic based detector, outperforms the well-known energy detector under various practically relevant primary signal models and channel fading models, through extensive Monte Carlo simulations. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IWSDA.2015.7458396 | 2015 Seventh International Workshop on Signal Design and its Applications in Communications (IWSDA) |
Keywords | Field | DocType |
Cognitive radio,spectrum sensing,goodness-of-fit test,Anderson Darling statistic multi-dimensional | Monte Carlo method,Statistic,Fading,Anderson–Darling test,Communication channel,Algorithm,Statistics,Detector,Goodness of fit,Mathematics,Cognitive radio | Conference |
ISSN | Citations | PageRank |
2150-3680 | 0 | 0.34 |
References | Authors | |
11 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanjeev Gurugopinath | 1 | 4 | 3.79 |
| Samudhyatha B. | 2 | 0 | 0.34 |