Computer Platform Adaptive Interference Cancellation Using Higher-Order Statistics ()
Qiwei Wang1*,
Mario E. Magaña1,
Harry G. Skinner2
1School of EECS, Oregon State University, Corvallis, OR, USA.
2Intel Corporation, Hillsboro, OR, USA.
DOI: 10.4236/cs.2015.610021
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Abstract
Broadband wireless interference in a computer platform is the result of multiple dynamic electromagnetic emission sources. This interference is non-Gaussian and a receiver design based on the Gaussian assumption will yield suboptimal performance. In fact, it has a double-sided K-distribution and needs to be treated differently in the design process. When dealing with this type of interference in the presence of white Gaussian noise, traditional interference/noise cancellation schemes do not produce satisfactory results. In this paper, we present an interference mitigation method which improves BER performance. We do this by using the cross-cumulant as the criterion of goodness. Specifically, our algorithm is based on higher order statistics (HOS) and is designed to reconstruct and to cancel the interference in a recursive fashion. The algorithm is tested on both BPSK and OFDM communication environments. We compare performance in terms of BER against other cancellation methods.
Share and Cite:
Wang, Q. , Magaña, M. and Skinner, H. (2015) Computer Platform Adaptive Interference Cancellation Using Higher-Order Statistics.
Circuits and Systems,
6, 201-212. doi:
10.4236/cs.2015.610021.
Conflicts of Interest
The authors declare no conflicts of interest.
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