5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Real-time spatio-temporal twice whitening for MIMO energy detectors

Download155 downloads
  • @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
T.S. Humble1,*, P. Mitra1, J. Barhen1, B. Schleck2
  • 1: Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States of America
  • 2: Coherent Logix, Inc., Austin, Texas, United States of America
*Contact email: humblets@ornl.gov

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.