Performance Comparison of Terrestrial DVB Detection using LDPC and Turbo Codes

Authors

  • Eugin E

  • Jeno Paul P

Keywords:

MAP detection, space frequency block coding (SFBC), digital video broadcasting terrestrial DVB-T), orthogonal frequency division multiplexing (OFDM)

Abstract

Last-generation and future wireless communication standards, such as DVB-T2 or DVB-NGH, are including multi-antenna transmission and reception in order to increase bandwidth efficiency and receiver robustness. The main goal is to combine diversity and spatial multiplexing in order to fully exploit the multiple-input multiple output (MIMO) channel capacity. Full-rate full-diversity (FRFD) space-time codes (STC) such as the Golden code are studied for that purpose. However, despite their larger achievable capacity, most of them present high complexity for soft detection, which hinders their combination with soft-input decoders in bit-interleaved coded modulation (BICM) schemes. This article presents a low complexity soft detection algorithm for the reception of FRFD space-frequency block codes in BICM orthogonal frequency division multiplexing (OFDM) systems and gives the performance comparision using Ldpc and Turbo codes. The proposed detector maintains a reduced and fixed complexity, avoiding the variable nature of the list sphere decoder (LSD) due to its dependence on the noise and channel conditions. Complexity and simulation based performance results are provided which show that the proposed detector performs close to the optimal log-maximum a posteriori (MAP) detection in a variety of DVB-T2 broadcasting scenarios.

How to Cite

Performance Comparison of Terrestrial DVB Detection using LDPC and Turbo Codes. (2013). Global Journal of Computer Science and Technology, 13(E8), 33-40. https://testing.computerresearch.org/index.php/computer/article/view/156

References

Performance Comparison of Terrestrial DVB Detection using LDPC and Turbo Codes

Published

2013-05-15

How to Cite

Performance Comparison of Terrestrial DVB Detection using LDPC and Turbo Codes. (2013). Global Journal of Computer Science and Technology, 13(E8), 33-40. https://testing.computerresearch.org/index.php/computer/article/view/156