Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Research on RFID collision detection algorithm based on the underdetermined blind separation

Authors
XiaoHui Cheng, Chuan Liu
Corresponding Author
XiaoHui Cheng
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.253How to use a DOI?
Keywords
RFID;blind source separation;non fully sparse
Abstract
Aiming at the collision problem of RFID tag communication,we proposed a new method for identifying the RFID recognition of the blind separation of source signals, which is based on the label collision and recovery. In the case that the number of tags is more than that of the reader,we established a RFID anti collision model based on the blind separation.In the same time considering the non full sparsity of RFID signal,we used an improved two step extraction method.Firstly We estimated the base vector of part of the source signal by the sample of the unit interval of signal.Then we extracted the corresponding source signal with the minimal interference so that the necessary conditions for the recognition of the mixed matrix can be avoided.After that ,We have carried out a simulation comparison in terms of throughput.The result showed that the method of this paper is better than the conventional blind separation algorithm and ALOHA algorithm in terms of throughput and it is more suitable for the collision identification and recovery of RFID non fully sparse signal.
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Proceedings
2016 4th International Conference on Machinery, Materials and Computing Technology
Part of series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.253How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - XiaoHui Cheng
AU  - Chuan Liu
PY  - 2016/03
DA  - 2016/03
TI  - Research on RFID collision detection algorithm based on the underdetermined blind separation
BT  - 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1291
EP  - 1298
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.253
DO  - https://doi.org/10.2991/icmmct-16.2016.253
ID  - Cheng2016/03
ER  -