Research of Sphere Decoding Detection Algorithm Based on Transmit Diversity

Dan Wang; Yuan Yuan  Zhou; Xiao Wen Li

doi:10.4028/www.scientific.net/AMR.791-793.1328

Paper Titles

Research on Movement Algorithms of the Police Wheeled Riot Armored Vehicle Based on the Visual Simulation
p.1309

Global Stability of a HBV Infection Model with Saturated Infection Rates and Time Delay
p.1314

A New Finite Element Simulation by Genetic Search Algorithm
p.1318

Global Dynamics of a HIV Infection Model with Delayed CTL Response and Cure Rate
p.1322

Research of Sphere Decoding Detection Algorithm Based on Transmit Diversity
p.1328

Soma Evolutionary Algorithm Used for Chromium Sludge Regeneration Process
p.1333

Spatial Information Based on the Multi-Objective Programming of Fuzzy Kernel Clustering Image Segmentation Algorithm
p.1337

An Ant Colony Algorithm for Remote Satellite and Ground Integration Scheduling Problem in Parallel Environment
p.1341

An Application of HVG Method to Studying Variations of LDoS Flow Packet Sequence Pattern
p.1347

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Research of Sphere Decoding Detection Algorithm...

Research of Sphere Decoding Detection Algorithm Based on Transmit Diversity

Abstract:

In MIMO-OFDM system, the traditional MRC algorithm is used for signal detection in transmit diversity mode ,this algorithm which assumes the same impulse response between adjacent sub-carriers and doesnt consider the noise ,has a higher bit error rate when signal-to-noise ratio is small ,based on this, this paper introduces a fast and effective single tree research sphere decoding detection algorithm and gives a detailed description of the algorithm ,simulation results show that the algorithm can reduce the bit error rate and improve performance.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

1328-1332

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.1328

Citation:

Cite this paper

Online since:

September 2013

Authors:

Dan Wang, Yuan Yuan Zhou, Xiao Wen Li

Keywords:

Long Term Evolution (LTE), Maximal Ratio Combining (MRC), Sphere Decoding, Transmit Diversity

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Shenjia, Suoshiqiang 3GPP long term evolution principle and system design, Beijing: posts&telecom press. 2008(in Chinese).

Google Scholar

[2] 3GPP TS 36. 211 v9. 1. 0: Precoding (Release 9) [S] 2010-03.

Google Scholar

[3] LiXiaowen, Guoge. Chenfatang. QR receiver design based on transmit diversity in LTE system [J]. (2011).

Google Scholar

[4] R. Wang and G, Giannakis, Approaching MIMO channel capacity with reduced-complexity soft sphere decoding, in Proc. Of IEEE Wireless Communications and Networking Conf. (WCNC), vol. 3, Mar. 2004, pp, 1620-1625.

DOI: 10.1109/wcnc.2004.1311795

Google Scholar

[5] J. Jalden and B. Ottersten, Parallel inplementation of a soft output sphere decoder, in Procedings Asilomar Conference on Signal, Sytems and Computers. Nov, 2005, pp.581-585.

DOI: 10.1109/acssc.2005.1599816

Google Scholar

[6] Liu Qianlei and Yang Luxi. Anovel method for initial radius selection of sphere decoding[C]. IEEE Vehicular Technology Conference, 2004, 2: 1280-1283.

DOI: 10.1109/vetecf.2004.1400229

Google Scholar

[7] Tangyuanyuan. Zhangdemin. Research of Soft-Output Sphere Decoding Detection Algorithm in TD-LTE system [J], 2012. 11.

Google Scholar