SDR-based blind channel estimation of time-varying OFDM systems

被引：0

作者：

Fang, Cheng-Zhi ^{[1
,2
]}

Du, Si-Dan ^{[1
]}

Ni, Liang-Fang ^{[1
]}

机构：

[1] Department of Electronic Science and Engineering, Nanjing University

[2] College of Optoelectrical Engineering, Nanjing University of Posts and Telecommunications

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2008年 / 30卷 / 08期

关键词：

Blind channel estimation; Correlation; OFDM; Randomization; Semi-Definite Relaxation (SDR);

D O I：

10.3724/sp.j.1146.2007.00178

中图分类号：

学科分类号：

摘要：

Some Quadratic Programs (QP) have been presented for the blind channel estimation and signal detection of the time-varying OFDM systems. In this paper a method is proposed to turn the QP problem into the optimization of a Semi-Definite Program (SDP) based on the Semi-Definite Relaxation (SDR) technique. Compared to the original QPs which reach the optimal solution with exponential complexity, the SDP could be solved efficiently in polynomial time. In order to reduce the complexity involved in the transform from the solution of the SDPs to the solution of the original QPs, the correlation property of the OFDM time-frequency response between adjacent subchannels or time-slots is exploited to devise a novel randomization strategy. The simulation proves the effectiveness of the new method.

引用

页码：1801 / 1805

页数：4

共 13 条

[1]

Sampath H., Talwar S., Tellado J., Et al., A fourth-generation MIMO-OFDM broadband wireless system: Design, performance and field trial results, IEEE Communication Magazine, 40, 9, pp. 143-149, (2002)

[2]

Chang M., Su Y.T., Blind and semi-blind detections of OFDM signals in fading channels, IEEE Trans. on Communication, 52, 5, pp. 744-754, (2004)

[3]

Lee J.-H., Han J.-C., Kim S.-C., Joint carrier frequency synchronization and channel estimation for OFDM systems via the EM algorithm, IEEE Trans. on Vehicular Technology, 55, 1, pp. 167-172, (2006)

[4]

Tao C., Tellambura C., Joint data detection and channel estimation for OFDM systems, IEEE Trans. on Communication, 54, 4, pp. 670-679, (2006)

[5]

Wiesel A., Eldar Y.C., Shamai S., Semidefinite relaxation for detection of 16-QAM signaling in MIMO channels, IEEE Signal Processing Letters, 12, 9, pp. 653-656, (2005)

[6]

Sturm J.F., Using SEDUMI 1.02: A Matlab toolbox for optimizations over symmetric cones, Optim. Math. Soft., 32, 1, pp. 11-12, (1999)

[7]

Helmberg C., Rendl F., Vanderbei R.J., Wolkowicz H., An interior point method for semidefinite programming, SIAM J. Optim., 6, 2, pp. 342-361, (1996)

[8]

Ma W.-K., Ching P.-C., Ding Z., Semidefinite relaxation based multiuser detection for M-ary PSK multiuser systems, IEEE Trans. on Signal Process., 52, 10, pp. 2862-2872, (2004)

[9]

Wang X.M., Lu W.S., Antoniou A., A near optimal multiuser detector for DS-CDMA systems using semidefinite programming relaxation, IEEE Trans. on Signal Process., 51, 9, pp. 2446-2450, (2003)

[10]

Matthias P., Mobile Fading Channels: Modeling, Analysis and Simulation, pp. 250-259, (2001)

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