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

Authors

  • Li Peng School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan 430074, Hubei, China and Department of Electronics and Information, Research Institute of Huazhong University of Science and Technology in Shenzhen, Shenzhen 518057, Guangdong, China.
  • Dacong Hu School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
  • Lin Zhang School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
  • Zhen Qin School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.

DOI:

https://doi.org/10.9734/bpi/tpmcs/v10/3071D

Keywords:

Unitary space time modulation (USTM), Grasamannian constellation, antipodal point, orthogonal design, maximum-likelihood (ML) detector

Abstract

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.  

Published

2021-05-10

How to Cite

Li Peng, Dacong Hu, Lin Zhang, & Zhen Qin. (2021). Study on Grassmannian Constellation Based on Antipodal Points and Orthogonal Design and Its Simplified Detecting Algorithm. Theory and Practice of Mathematics and Computer Science Vol. 10, 46–58. https://doi.org/10.9734/bpi/tpmcs/v10/3071D