IEICE TRANSACTIONS on Communications
Basis Vector Estimation Analysis for Identification of Block Orthogonal Modulations
Summary :
Cognitive radios are intelligent communications, and are expected to more efficiently utilize the radio channel. Modulation identification is one of the key issues in the cognitive radios. Many works were devoted to the classification of symbol-by-symbol modulations, however, few papers on block modulations have been published. In this paper, an identification error analysis is presented for block orthogonal modulations using General Orthogonal Modulation~(GOM). A symbol error probability is derived for the identified block orthogonal modulation. Numerical results of 4-dimensional block orthogonal modulation are presented with simulation results.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.5 pp.1882-1885
- Publication Date
- 2012/05/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.1882
- Type of Manuscript
- LETTER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Takafumi KINUGASA, Ikuo OKA, Shingo ATA, "Basis Vector Estimation Analysis for Identification of Block Orthogonal Modulations" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 5, pp. 1882-1885, May 2012, doi: 10.1587/transcom.E95.B.1882.
Abstract: Cognitive radios are intelligent communications, and are expected to more efficiently utilize the radio channel. Modulation identification is one of the key issues in the cognitive radios. Many works were devoted to the classification of symbol-by-symbol modulations, however, few papers on block modulations have been published. In this paper, an identification error analysis is presented for block orthogonal modulations using General Orthogonal Modulation~(GOM). A symbol error probability is derived for the identified block orthogonal modulation. Numerical results of 4-dimensional block orthogonal modulation are presented with simulation results.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.1882/_p
Copy
@ARTICLE{e95-b_5_1882,
author={Takafumi KINUGASA, Ikuo OKA, Shingo ATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Basis Vector Estimation Analysis for Identification of Block Orthogonal Modulations},
year={2012},
volume={E95-B},
number={5},
pages={1882-1885},
abstract={Cognitive radios are intelligent communications, and are expected to more efficiently utilize the radio channel. Modulation identification is one of the key issues in the cognitive radios. Many works were devoted to the classification of symbol-by-symbol modulations, however, few papers on block modulations have been published. In this paper, an identification error analysis is presented for block orthogonal modulations using General Orthogonal Modulation~(GOM). A symbol error probability is derived for the identified block orthogonal modulation. Numerical results of 4-dimensional block orthogonal modulation are presented with simulation results.},
keywords={},
doi={10.1587/transcom.E95.B.1882},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - Basis Vector Estimation Analysis for Identification of Block Orthogonal Modulations
T2 - IEICE TRANSACTIONS on Communications
SP - 1882
EP - 1885
AU - Takafumi KINUGASA
AU - Ikuo OKA
AU - Shingo ATA
PY - 2012
DO - 10.1587/transcom.E95.B.1882
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2012
AB - Cognitive radios are intelligent communications, and are expected to more efficiently utilize the radio channel. Modulation identification is one of the key issues in the cognitive radios. Many works were devoted to the classification of symbol-by-symbol modulations, however, few papers on block modulations have been published. In this paper, an identification error analysis is presented for block orthogonal modulations using General Orthogonal Modulation~(GOM). A symbol error probability is derived for the identified block orthogonal modulation. Numerical results of 4-dimensional block orthogonal modulation are presented with simulation results.
ER -
English
