Grassmannian Constellation Based on Antipodal Points and Orthogonal Design and Its Simplified Detecting Algorithm

Joint Authors

Peng, Li
Hu, Dacong
Zhang, Lin
Qin, Zhen

Source

Journal of Computer Networks and Communications

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-04-03

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Information Technology and Computer Science

Abstract EN

This study presents a framework of the unitary space time modulation (USTM) constellation based on antipodal points over Grassmannian manifold.

The antipodal constellation enables an intrinsic simplified ML detecting algorithm.

The algebraic orthogonal USTM constellation is also an antipodal constellation which, apart from being adaptive to the antipodal simplified ML detector, also has another simplified ML detector based on its self-indexing features, and the latter is simpler because of getting rid of the matrix operation.

A searching orthogonal USTM constellation based on the grid search algorithm is obtained under the presented framework and its minimum Frobenius chordal distance and simulation performance are be superior to those of the algebraic orthogonal USTM constellation.

American Psychological Association (APA)

Peng, Li& Hu, Dacong& Zhang, Lin& Qin, Zhen. 2017. Grassmannian Constellation Based on Antipodal Points and Orthogonal Design and Its Simplified Detecting Algorithm. Journal of Computer Networks and Communications،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1173326

Modern Language Association (MLA)

Peng, Li…[et al.]. Grassmannian Constellation Based on Antipodal Points and Orthogonal Design and Its Simplified Detecting Algorithm. Journal of Computer Networks and Communications No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1173326

American Medical Association (AMA)

Peng, Li& Hu, Dacong& Zhang, Lin& Qin, Zhen. Grassmannian Constellation Based on Antipodal Points and Orthogonal Design and Its Simplified Detecting Algorithm. Journal of Computer Networks and Communications. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1173326

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1173326