Research Article
Real-time spatio-temporal twice whitening for MIMO energy detectors
@INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9299, author={T.S. Humble and P. Mitra and J. Barhen and B. Schleck}, title={Real-time spatio-temporal twice whitening for MIMO energy detectors}, proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2010}, month={9}, keywords={MIMO cognitive radio data whitening dynamic spectrum access energy detector multicore processor spectrum sensing}, doi={10.4108/ICST.CROWNCOM2010.9299} }- T.S. Humble
P. Mitra
J. Barhen
B. Schleck
Year: 2010
Real-time spatio-temporal twice whitening for MIMO energy detectors
CROWNCOM
IEEE
DOI: 10.4108/ICST.CROWNCOM2010.9299
Abstract
While many techniques exist for local spectrum sensing of a primary user, each represents a computationally demanding task to secondary user receivers. In software-defined radio, computational complexity lengthens the time for a cognitive radio to recognize changes in the transmission environment. This complexity is even more significant for spatially multiplexed receivers, e.g., in SIMO and MIMO, where the spatio-temporal data sets grow in size with the number of antennae. Limits on power and space for the processor hardware further constrain SDR performance. In this report, we discuss improvements in spatio-temporal twice whitening (STTW) for real-time local spectrum sensing by demonstrating a form of STTW well suited for MIMO environments. We implement STTW on the Coherent Logix hx3100 processor, a multicore processor intended for low-power, high-throughput software-defined signal processing. These results demonstrate how coupling the novel capabilities of emerging multicore processors with algorithmic advances can enable real-time, software-defined processing of large spatio-temporal data sets.