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

المؤلفون المشاركون

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

المصدر

Journal of Computer Networks and Communications

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-04-03

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1173326