Computer Platform Adaptive Interference Cancellation Using Higher-Order Statistics

Qiwei Wang^1*, 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                

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.

Keywords

Broadband, Interference, Cancellation, Adaptive, Cumulant

Conflicts of Interest

The authors declare no conflicts of interest.

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