Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCSI.2008.916419
Title: An adaptive filtering algorithm for direct-conversion receivers: Architecture and performance analysis
Authors: Zheng, Y.
Cao, M.
Teo, E.K.H.
Garg, H.K. 
Keywords: ARX model
Convergence
DC offsets
Direct-conversion receivers
Flicker noise
I/Q mismatch
Minimum mean-square error (MMSE)
MMSE
Issue Date: May-2008
Source: Zheng, Y., Cao, M., Teo, E.K.H., Garg, H.K. (2008-05). An adaptive filtering algorithm for direct-conversion receivers: Architecture and performance analysis. IEEE Transactions on Circuits and Systems I: Regular Papers 55 (4) : 1141-1148. ScholarBank@NUS Repository. https://doi.org/10.1109/TCSI.2008.916419
Abstract: An adaptive filtering algorithm is proposed in this paper to remove I/Q mismatch, dc offsets, flicker noise, and intersymbol interference (ISI) simultaneously in a direct-conversion receiver. I/Q mismatch is cancelled by a real valued adaptive mismatch canceller, and dc offsets are removed with one complex tap. In addition, flicker noise is modeled as a complex autoregressive (AR) random process so the system to be identified transforms to an ARX model. After estimating the coefficients in the model during the training period, the desired signal can be estimated using the decision feedback method. To accelerate the convergence of the algorithm and to reduce the estimation variance, an internal iterative algorithm is introduced. The convergence analysis of the proposed algorithm is also given, and the closed form of the minimum mean square error of the proposed algorithm is derived. Simulation results are provided to verify the superior performance of the proposed algorithm. © 2008 IEEE.
Source Title: IEEE Transactions on Circuits and Systems I: Regular Papers
URI: http://scholarbank.nus.edu.sg/handle/10635/54981
ISSN: 10577122
DOI: 10.1109/TCSI.2008.916419
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