International Journal of Applied Research on Information Technology and Computing (IJARITAC)
  • Year: 2019
  • Volume: 2
  • Issue: 3

Performance of Sphere Decoding Algorithm Applied to STBC with Channel Coding

  • Author:
  • Herve Koudougnon1,, Rachid Saadane2, Mostafa Belkasmi3
  • Total Page Count: 13
  • Published Online: Aug 1, 2019
  • DOI:
  • Page Number: 41 to 53

1Phd. Student, Department of Communication Technology; MohammedV Souissi University Rabat, National School of Computer Science and Systems Analysis (ENSIAS)/10000/Morocco

2Associate Professor, Department of Electrical Engineering, Hassania School of Public Works (EHTP), 202000/Morocco

3Professor, Department of Communication Technology; MohammedV Souissi University Rabat, National School of Computer Science and Systems Analysis (ENSIAS)/10000/Morocco

* E-mail id: hervekoudougnon@gmail.com

Abstract

A multiple-input-multiple-output (MIMO) system using Space-Time Block Coding (STBC) techniques can be implemented to improve the capacity of a wireless link. Sphere Decoding (SD) detector that is based on QR Decomposition (QRD) gives a good tradeoff between performance and complexity [7]. In this paper, we studied the Gram-Schmidt, Householder and Givens Rotation decomposition methods and compared their efficiency in terms of computational complexity and error rate performance on Rayleigh and Rice channels. The channel coding is added to the transmission chain in order to improve performance. SD receivers are optimised for coded MIMO. Simulations showed that the DS detector based on Gram-Schmidt decomposition with channel encoding gives the best results.

Keywords

STBC, QR Decomposition, Sphere Decoding, Channel Coding, Rice, Rayleigh