DocumentCode :
190796
Title :
A digital self-interference cancellation method for practical full-duplex radio
Author :
Di Wu ; Can Zhang ; Shaoshuai Gao ; Deyuan Chen
Author_Institution :
Sch. of Electron., Electr. & Commun. Eng., Univ. of Chinese Acad. of Sci., Beijing, China
fYear :
2014
fDate :
5-8 Aug. 2014
Firstpage :
74
Lastpage :
79
Abstract :
Previous research shows that it is possible to achieve full-duplex system as long as self-interference is cancelled enough. Digital cancellation method is an important step to remove the residue self-interference signal in digital domain. Compared with prior art, this paper purposes a novel digital cancellation method. The recursive least squares (RLS) algorithm is introduced and digital filter length can be adjusted adaptively based on the self-interference channel characteristic. The real-time experimental results show that our method has fairly desirable performance than previous research. It can achieve about 26dB for 5MHz bandwidth signal at high transmit power 15dBm. Furthermore, it is still effective when passive and active cancellation mechanisms are not ideal.
Keywords :
digital filters; interference suppression; least squares approximations; telecommunication channels; active cancellation mechanisms; bandwidth 5 MHz; digital cancellation method; digital domain; digital filter length; digital self-interference cancellation method; full-duplex radio; full-duplex system; passive cancellation mechanisms; recursive least squares algorithm; self-interference channel characteristic; self-interference signal; Bandwidth; Complexity theory; Interference; Least squares approximations; Real-time systems; Signal to noise ratio; Wireless communication; Full-duplex; digital cancellation; self-interference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communications and Computing (ICSPCC), 2014 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4799-5272-4
Type :
conf
DOI :
10.1109/ICSPCC.2014.6986155
Filename :
6986155
Link To Document :
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