DocumentCode :
3587829
Title :
Impact of received signal on self-interference channel estimation and achievable rates in in-band full-duplex transceivers
Author :
Korpi, Dani ; Anttila, Lauri ; Valkama, Mikko
Author_Institution :
Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
fYear :
2014
Firstpage :
975
Lastpage :
982
Abstract :
In this paper we analyze the effect of the calibration period, or lack of, on self-interference channel estimation in the digital domain of in-band full-duplex radio transceivers. In particular, we consider a scenario where the channel estimation must be performed without a separate calibration period, which means that the received signal of interest will act as an additional noise source from the estimation perspective. We will explicitly analyze its effect, and quantify the increase in the parameter estimation variance, or sample size, if similar accuracy for the self-interference channel estimate is to be achieved as with a separate calibration period. In addition, we will analyze how the calibration period, or its absence, affects the overall achievable rates. Full waveform simulations are then used to determine the validity of the obtained results, as well as to provide numerical results regarding the achievable rates. It is shown that, even though a substantial increase in the parameter sample size is required if there is no calibration period, the achievable rates are still comparable for the two scenarios.
Keywords :
channel estimation; radio transceivers; radiofrequency interference; achievable rates; calibration period effect; digital domain; estimation perspective; full-waveform simulation; in-band full-duplex radio transceivers; noise source; parameter estimation variance; parameter sample size; received signal impact; received signal-of-interest; self-interference channel estimation; substantial increase; Calibration; Channel estimation; Interference; Receivers; Signal to noise ratio; Silicon; Transceivers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2014 48th Asilomar Conference on
Print_ISBN :
978-1-4799-8295-0
Type :
conf
DOI :
10.1109/ACSSC.2014.7094599
Filename :
7094599
Link To Document :
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