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Low-complexity variable forgetting factor mechanism for RLS algorithms in interference mitigation applications

Authors: Yunlong Cai; Rodrigo C. de Lamare;

Low-complexity variable forgetting factor mechanism for RLS algorithms in interference mitigation applications

Abstract

In this work, we propose a low-complexity variable forgetting factor (VFF) mechanism for recursive least square (RLS) algorithms in interference mitigation applications. The proposed VFF mechanism employs a time average of the error correlation to automatically adjust the forgetting factor in order to ensure fast convergence and good tracking of the interference and the channel variations. Simulation results for a direct-sequence code-division multiple access (DS-CDMA) system are presented for nonstationary environments and show that the proposed VFF mechanism achieves superior performance to previously reported methods at a reduced complexity.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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