Adaptive broadband wireless interference mitigation architecture applying higher order statistics algorithm for computer platform

The broadband wireless interference in a computer platform is resulted by multiple electro-magnetic emission sources. This non-Gaussian interference is proved to be double-sided K-distributed in previous research. With the limitation of transmission power and dimension of the device, interference mitigation is an efficient way to improve received signal bit error rate (BER). When applied on the double-sided K-distributed interference in the presence of Gaussian noise, traditional interference/noise cancellation schemes are not able to produce satisfactory results. In this thesis, our target is to find an interference mitigation method with improved BER performance. By introducing a new criterion of goodness, i.e. the cross-cumulant, the new adaptive algorithm based on higher order statistics (HOS) is designed to reconstruct and to cancel the interference in a recursive fashion. It is proved to be effective on both experimental binary transmission system and the OFDM system which is widely applied in modern mobile communication devices. Compared to the previous cancellation method, the BER performance is improved considerably