Least Squares Constant Modulus Blind Adaptive Beamforming with Sparse Constraint-Reference-Cited by-同舟云学术

Least Squares Constant Modulus Blind Adaptive Beamforming with Sparse Constraint

Published:2012 Issue:1 Volume:E95-B Page:313-316
ISSN:0916-8516
Container-title:IEICE Transactions on Communications
language:en
Short-container-title:IEICE Trans. Commun.

Author:

LI Jun¹,XU Hongbo¹,XIA Hongxing¹,LIU Fan¹,LI Bo²

Affiliation:

1. College of Physical Science and Technology, Central China Normal University (CCNU)

2. Department of Electronic Science & Technology, Huazhong University of Science and Technology (HUST)

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://www.jstage.jst.go.jp/article/transcom/E95.B/1/E95.B_1_313/_pdf

Reference12 articles.

1. [1] H.L. Van Trees, Detection, Estimation, and Modulation, Part IV, Optimum Array Processing, John Wiley & Sons, 2002.

2. Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems

3. [3] J.R. Treichler and B.G. Agree, “A new approach to multipath correction of constant modulus signals,” IEEE Trans. Acoust. Speech Signal Process., vol.31, pp.459-471, April 1983.

4. [4] B.G. Agree, “The least squares CMA: A new technique for rapid correction of constant modulus signals,” Proc. IEEE Int. Conf. Acoust., Speech, Singal Processing, pp.953-956, 1986.

5. [5] T.E. Biedka, W.H. Tranter, and J.H. Reed. “Convergence analysis of the least squares constant modulus algorithms in interference cancellation applications,” IEEE Trans. Signal Process., vol.48, pp.491-501, March 2000.

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