DocumentCode
1802440
Title
Wideband digital cancellation for full-duplex communications
Author
Khojastepour, Mohammad Amir ; Rangarajan, Sampath
Author_Institution
NEC Labs. America, Princeton, NJ, USA
fYear
2012
fDate
4-7 Nov. 2012
Firstpage
1300
Lastpage
1304
Abstract
In this paper, we consider the problem of canceling self-interference received by a wireless node from the transmitted signal from the same node. We consider separate antennas for transmission and reception. The self-interference signal is partly known to the node since the transmitted signal is known at the received antenna with the exception of the channel gain and multipath effect. We investigate the limitation of digital cancellation in solving the problem of self-interference cancellation and seek efficient algorithms that can be used in wideband and frequency selective channels as well as the narrowband and frequency flat channels. We show that limitations of analog to digital converters (ADC) such as the dynamic range and quantization resolution are the main obstacle in restricting the isolation levels of the self-interference signal that can be achieved by employing digital cancelation. We provide design guidelines and a specific digital cancelation system with an enhanced effective resolution and larger dynamic range by an intelligent feedback loop. We also address the problem of wideband digital cancellation by using the theory of sparse signal recovery.
Keywords
analogue-digital conversion; fading channels; interference suppression; multipath channels; receiving antennas; transmitting antennas; ADC; analog to digital converters; channel gain; frequency flat channels; frequency selective channels; full-duplex communications; intelligent feedback loop; multipath effect; received antenna; self-interference cancellation; self-interference signal; sparse signal recovery; wideband digital cancellation system;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4673-5050-1
Type
conf
DOI
10.1109/ACSSC.2012.6489234
Filename
6489234
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