Population Estimation of RFID Tags Using Hadamard Footprints
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, Joon-Tae | ko |
| dc.contributor.author | Jin, Seung-Ri | ko |
| dc.contributor.author | Park, Dong-Jo | ko |
| dc.date.accessioned | 2013-03-11T06:04:41Z | - |
| dc.date.available | 2013-03-11T06:04:41Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 2010-09 | - |
| dc.identifier.citation | IEICE TRANSACTIONS ON COMMUNICATIONS, v.E93B, no.9, pp.2473 - 2476 | - |
| dc.identifier.issn | 0916-8516 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/98462 | - |
| dc.description.abstract | A novel method is proposed that can estimate the tag population in Radio Frequency Identification (RFID) systems by using a Hadamard code for the tag response. We formulate the maximum likelihood estimator for the tag population using the number of observed footprints. The lookup table of the estimation algorithm has low complexity. Simulation results show that the proposed estimator performs considerably better than the conventional schemes. | - |
| dc.language | English | - |
| dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
| dc.subject | ALOHA | - |
| dc.title | Population Estimation of RFID Tags Using Hadamard Footprints | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000282245300038 | - |
| dc.identifier.scopusid | 2-s2.0-77956223951 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | E93B | - |
| dc.citation.issue | 9 | - |
| dc.citation.beginningpage | 2473 | - |
| dc.citation.endingpage | 2476 | - |
| dc.citation.publicationname | IEICE TRANSACTIONS ON COMMUNICATIONS | - |
| dc.contributor.localauthor | Park, Dong-Jo | - |
| dc.type.journalArticle | Article; Proceedings Paper | - |
| dc.subject.keywordAuthor | tag population estimation | - |
| dc.subject.keywordAuthor | RFID | - |
| dc.subject.keywordAuthor | footprint | - |
| dc.subject.keywordAuthor | hadamard matrix | - |
| dc.subject.keywordPlus | ALOHA | - |
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