Least Squares Constant Modulus Blind Adaptive Beamforming with Sparse Constraint
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- LI Jun
- College of Physical Science and Technology, Central China Normal University (CCNU)
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- XU Hongbo
- College of Physical Science and Technology, Central China Normal University (CCNU)
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- XIA Hongxing
- College of Physical Science and Technology, Central China Normal University (CCNU)
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- LIU Fan
- College of Physical Science and Technology, Central China Normal University (CCNU)
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- LI Bo
- Department of Electronic Science & Technology, Huazhong University of Science and Technology (HUST)
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Abstract
Beamforming with sparse constraint has shown significant performance improvement. In this letter, a least squares constant modulus blind adaptive beamforming with sparse constraint is proposed. Simulation results indicate that the proposed approach exhibits better performance than the well-known least squares constant modulus algorithm (LSCMA).
Journal
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- IEICE Transactions on Communications
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IEICE Transactions on Communications E95-B (1), 313-316, 2012
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1390282679351709568
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- NII Article ID
- 10030537063
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- NII Book ID
- AA10826261
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- ISSN
- 17451345
- 09168516
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed