Description: The spectrum sensing of a wideband frequency range is studied by dividing it into multiple subbands.
It is assumed that in each subband either a primary user (PU) is active or absent in a additive white Gaussian
noise environment with an unknown variance. It is also assumed that at least a minimum given number of
subbands are vacant of PUs. In this multiple interrelated hypothesis testing problem, the noise variance is
estimated and a generalised likelihood ratio detector is proposed to identify possible spectrum holes at a
secondary user (SU). Provided that it is known that a specific PU can occupy a subset of subbands
simultaneously, a grouping algorithm which allows faster spectrum sensing is proposed. The collaboration of
multiple SUs can also be considered in order to enhance the detection performance. The collaborative
algorithms are compared in terms of the required exchange information among SUs in some collaboration
methods. The simulation results show that the propos
- [ROC] - ROC curve drawing program! matlab versio
- [MATLAB] - Full version of the spectrum to achieve
- [CR-MATLAB] - Cognitive radio frequency spectrum detec
- [04A-02] - spectrum sensing energy based detection
- [SPI_test] - This code is for high speed SPI communic
- [2] - Spatial-Spectral Joint Detection for Wid
- [pp1] - spectrum sensing in cognitive radio
- [spectrum] - about the energy detection in wireless c
- [software] - cognitive radio software.......
- [ed] - The code implements the energy spectrum
File list (Check if you may need any files):
Wideband spectrum sensing in unknown white Gaussian noise.pdf
Download