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Digital compensation of second‐ and third‐order nonlinear distortions generated by blocker signals
Author(s) -
MendozaValencia Paulino,
LagunaSanchez Gerardo,
PrietoGuerrero Alfonso
Publication year - 2016
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22271
Subject(s) - analog front end , electronic engineering , software defined radio , signal (programming language) , digital signal processing , digital filter , front and back ends , signal processing , filter (signal processing) , rf front end , compensation (psychology) , distortion (music) , computer science , equalization (audio) , engineering , analog signal , channel (broadcasting) , bandwidth (computing) , electrical engineering , telecommunications , radio frequency , amplifier , psychoanalysis , programming language , operating system , psychology , cmos
Deeply integrated systems in chips commonly include a digital and an analog front end on the same die. These analog front‐end schemes for wireless communications could be implemented under the concept called software‐defined radio (SDR). Digital signal processing is commonly used to perform signal filtering and channel equalization, and, recently, to improve front‐end radio performance by removing the undesirable effects of the analog front‐end imperfections. These wide‐band SDR are currently implemented without the surface acoustic wave (SAW) filter, because it is difficult to integrate a highly configurable one, as is required in wide‐band systems. An analog front end without this filter has no efficient protection against blocker signal effects, specifically against nonlinear distortions due to the analog front‐end imperfections. This paper proposes an algorithm to simultaneously remove second‐ and third‐order nonlinear distortions caused by a blocker signal, departing from a behavioral model and a band‐pass sampling pure digital algorithm to recover the blocker signal information. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.