Title :
Digital Equalization of a Polyphase Harmonic Mixer
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Abstract :
A mathematical framework is developed for the harmonic distortion problem. This formulation has interesting analogies to well-studied problems in array processing and multiuser detection. Based on this framework, a minimum mean squared error equalizer is first derived. By exploiting the unique structure of the signature vectors, a noniterative low-complexity blind equalizer is proposed. Existing harmonic rejection approaches are analyzed within this framework. The proposed equalizer can be shown to significantly outperform existing approaches in the presence of large interferers.
Keywords :
blind equalisers; harmonic distortion; iterative methods; least mean squares methods; mathematical analysis; mixers (circuits); multiuser detection; vectors; array processing; digital equalization; harmonic distortion problem; harmonic rejection approach; mathematical framework; minimum mean square error equalizer; multiuser detection; noniterative low-complexity blind equalizer; polyphase harmonic mixer; signature vector; Array processing; digital equalization; harmonic-reject mixer; multiuser detection (MUD); software-defined radio (SDR);
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2013.2268315