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Journal Article: BibTeX citation key:  Bockelmann2015
C. Bockelmann, "Iterative Soft Interference Cancellation for Sparse BPSK Signals", IEEE Communication Letters, vol. 19, iss. 5, pp. 855–858, May 2015.
Added by: Matthias Woltering (ANT) 2015-12-01 08:34:53
 B 
Categories: AK, ANT
Creators: Bockelmann
Collection: IEEE Communication Letters

Number of views:  119
Popularity index:  5.27%

 
Abstract
Compressed Sensing based Multi-User Detection (CS-MUD) is a novel MUD approach applied in sporadic Machine Type Communication (MTC) to identify actively transmitting sensors nodes at the same time as the transmitted data. In this context, different reconstruction algorithms from CS as well as detection concepts well established in communications have been adapted, but either are not exploiting finite alphabets or are highly complex. In this paper, we focus on an iterative soft interference cancellation scheme that efficiently exploits the sparsity of the signal, the finite alphabet of the transmit data and the usually employed channel coding to obtain a robust high performance detection scheme.
Added by: Matthias Woltering (ANT)

 
Further information may be found at:
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7054453

 
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