Performance Comparison of Terrestrial DVB Detection using LDPC and Turbo Codes

Eugin E; Jeno Paul P

Performance Comparison of Terrestrial DVB Detection using LDPC and Turbo Codes

Eugin E * §

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Jeno Paul P

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§ PSN College of Engineering & Technology, Tirunelveli...

Performance Comparison of Terrestrial DVB Detection using LDPC and Turbo Codes

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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 multipleinput 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 bitinterleaved 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 logmaximum a posteriori (MAP) detection in a variety of DVB-T2 broadcasting scenarios.

References

20 Cites in Article

Reference Format

H Tarokh,A Jafarkhani,Calderbank (1999). Spacetime block codes from orthogonal designs.
I Lee,A Chan,C.-E Sundberg (2004). Space-Time Bit-Interleaved Coded Modulation for OFDM Systems.
H Yao,G Wornell (2003). Achieving the full MIMO diversitymultiplexing frontier with rotation based space-time codes.
Y Nasser,J Helard,M Crussière (2008). System level evaluation of innovative coded MIMO-OFDM systems for broadcasting digital TV.
Iker Sobron,Maitane Barrenechea,Pello Ochandiano,Lorena Martinez,Mikel Mendicute,Jon Altuna (2010). Low-Complexity Detection of Full-Rate SFBC in BICM-OFDM Systems.
X Ma,G Giannakis (2003). Full-diversity full-rate complex-field space-time coding.
Javier Paredes,Alex Gershman,Mohammad Gharavi-Alkhansari (2007). A 2�2 Space-Time Code with Non-Vanishing Determinants and Fast Maximum Likelihood Decoding.
S Sezginer,H Sari,E Biglieri (2009). On high-rate full-diversity 2 x 2 space-time codes with lowcomplexity optimum detection.
B Hochwald,S Ten Brink (2003). Achieving near-capacity on a multiple-antenna channel.
R Wang,G Giannakis (2004). Approaching MIMO channel capacity with reduced-complexity soft sphere decoding.
L Barbero,J Thompson (2008). Extending a Fixed-Complexity Sphere Decoder to Obtain Likelihood Information for Turbo-MIMO Systems.
K Kim,J Yue (2002). Joint channel estimation and data detection algorithms for MIMO-OFDM systems.
P Radosavljevic,Yuanbin Guo,J Cavallaro (2009). Probabilistically bounded soft sphere detection for MIMO-OFDM receivers: algorithm and system architecture.
J-C Belfiore,G Rekaya,E Viterbo (2004). The golden code: a 2 x 2 full-rate space-time code with non-vanishing determinants.
Etsi (2009). Digital video broadcasting (DVB).
J Guey,M Fitz,M Bell,W Kuo (1996). Signal design for transmitter diversity wireless communication systems over Rayleigh fading channels.
V Tarokh,A Naguib,N Seshadri,A Calderbank (1997). Space-time codes for high data rate wireless communication: mismatch analysis.
Luis Barbero,John Thompson (2006). Rapid Prototyping of a Fixed-Throughput Sphere Decoder for MIMO Systems.
C.-P Schnorr,M Euchner (1991). Lattice basis reduction: improved practical algorithms and solving subset sum problems.
B Hassibi,B Hochwald (2002). High-rate codes that are linear in space and time.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Eugin E, Jeno Paul P. 2013. "Performance Comparison of Terrestrial DVB Detection using LDPC and Turbo Codes". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E8).

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GJCST Volume 13 Issue E8

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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

Classification

GJCST-E Classification C.2.0

Submission ReceivedDecember 7, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

June 20, 2013

Language

English

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Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Eugin E, Jeno Paul P (PhD/Dr. count: 0)

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