Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio

Aaron Pries; David Ramírez; Peter J. Schreier

ICASSP 2016accepted0 citations

Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio

Aaron Pries, David Ramírez, Peter J. Schreier

Abstract

One approach to spectrum sensing for cognitive radio is the detection of cyclostationarity. We extend an existing multi-antenna detector for cyclostationarity proposed by Ramírez et al. [1], which makes no assumptions about the noise beyond being (temporally) wide-sense stationary. In special cases, the noise could be uncorrelated among antennas, or it could be temporally white. The performance of a general detector can be improved by making use of a priori structural information. We do not, however, require knowledge of the exact values of the temporal or spatial noise covariances. We develop an asymptotic generalized likelihood ratio test and evaluate the performance by simulations.

BibTeX

@inproceedings{icassp2016_detectionofcyclo,
  title = {Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio},
  author = {Aaron Pries and David Ramírez and Peter J. Schreier},
  booktitle = {ICASSP 2016},
  year = {2016}
}