SAGE-ML Joint Estimation and Detection Algorithm in MIMO-OFDM Systems

Jing Peng Gao; Dan Feng Zhao; Chao Qun Wu

doi:10.4028/www.scientific.net/AMM.389.494

Paper Titles

New Approach to Delay-Dependent Stability Analysis and Stabilization for Fuzzy Systems with Time-Varying Delay
p.471

Research on Microelectronic Packaging Position Detection Based on Machine Vision
p.477

Precision Temperature Control System Based on PID Algorithm
p.483

Weak Signal Detection System Based on Lock-in Amplifier Technology
p.489

SAGE-ML Joint Estimation and Detection Algorithm in MIMO-OFDM Systems
p.494

The Diagnostis Method of Control Valve Stiction
p.501

Research of the Precision Positioning Method for Electric Locomotive Automatic Control System
p.507

A Low Cost Data Logger for Industry Applications
p.513

Finite Element Analysis of Converter Tilting Mechanism Helical Gear Reducer in Abnormal Meshing Condition
p.519

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 389SAGE-ML Joint Estimation and Detection Algorithm...

SAGE-ML Joint Estimation and Detection Algorithm in MIMO-OFDM Systems

Abstract:

In order to improve the decoding performance of MIMO-OFDM system in the case of the channel state information is not accurate enough, a new algorithm is proposed, which combines SAGE algorithm, DFT-LS channel estimation and maximum likelihood detection algorithm. The algorithm utilizes joint iterative technology to achieve channel estimation and decoding effect, thereby enhances the reliability of the system. Theoretical study and simulation results show that the proposed algorithm can track the channel change correctly without increasing the system overhead, and the convergence speed is accelerated. Besides, the performance is superior to the commonly used joint detection algorithm. Moreover, comparing with the ideal channel estimation under the maximum likelihood detection algorithm, the new proposed algorithm only has a loss of 0.5dB with the same bit error rate.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 389)

Pages:

494-500

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.389.494

Citation:

Cite this paper

Online since:

August 2013

Authors:

Jing Peng Gao, Dan Feng Zhao, Chao Qun Wu

Keywords:

Channel Estimation, Joint Estimation of Detection, MIMO, Orthogonal Frequency Division Multiplexing (OFDM), SAGE Algorithm

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Feifei Gao, Tao Cui, A. Nallanathan: IEEE Transactions on Wireless Communications, Vol. 5 (2008), p.1907-(1916).

Google Scholar

[2] R.J. Piechocki, A.R. Nix, J.P. McGeehan, and S.M.D. Armour: IEE Proceedings Communications, Vol. 150 (2003), pp.419-426.

Google Scholar

[3] C.C. Tu, B. Champagne: IEEE Transactions on Vehicular Technology, Vol. 59 (2010), pp.1539-1544.

Google Scholar

[4] Tao Jiang, N.D. Sidiropoulos, in: Signal Processing Advances in Wireless Communications, edited by IEEE Conference Publications, Minneapolis, MN, USA (2003), in press.

Google Scholar

[5] M.K. Ozdemir, H. Arslan, and E. Arvas: IEEE Transactions on Wireless Communications, Vol. 5 (2006), pp.2675-2678.

Google Scholar

[6] P. Salvo Rossi, R. Muller: IEEE Transactions on Wireless Communications, Vol. 7 (2008), pp.4719-4729.

Google Scholar

[7] A.N. Mody, G.L. Stuber, in: IEEE Global Telecommunications Conference, edited by IEEE Conference Publications, Atlanta, GA (2001), in press.

Google Scholar

[8] D. Shutin, B.H. Fleury: IEEE Transactions on Signal Processing, Vol. 59 (2011), pp.3609-3623.

Google Scholar