Abstract:
A discrete Fourier transform (DFT) enhanced complex least mean square (CLMS) algorithm, which utilizes the underlying time series relationship among the consecutive funda...Show MoreMetadata
Abstract:
A discrete Fourier transform (DFT) enhanced complex least mean square (CLMS) algorithm, which utilizes the underlying time series relationship among the consecutive fundamental DFT components, is proposed to adaptively mitigate the spur pollution in multi-standard transceivers. The transient and steady-state performances of the proposed algorithm are investigated, demonstrating faster convergence speed and higher signal-plus-noise-to-interference ratio (SNIR) performance at the steady state, compared to the conventional LMS algorithm. Computer simulations in the single-spur cancellation setting support the analysis.
Date of Conference: 23-25 August 2017
Date Added to IEEE Xplore: 07 November 2017
ISBN Information:
Electronic ISSN: 2165-3577