IEICE TRANSACTIONS on Communications
Least Squares Constant Modulus Blind Adaptive Beamforming with Sparse Constraint
Summary :
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).
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.1 pp.313-316
- Publication Date
- 2012/01/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.313
- Type of Manuscript
- LETTER
- Category
- Antennas and Propagation
Authors
Keyword
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Jun LI, Hongbo XU, Hongxing XIA, Fan LIU, Bo LI, "Least Squares Constant Modulus Blind Adaptive Beamforming with Sparse Constraint" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 1, pp. 313-316, January 2012, doi: 10.1587/transcom.E95.B.313.
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).
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.313/_p
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@ARTICLE{e95-b_1_313,
author={Jun LI, Hongbo XU, Hongxing XIA, Fan LIU, Bo LI, },
journal={IEICE TRANSACTIONS on Communications},
title={Least Squares Constant Modulus Blind Adaptive Beamforming with Sparse Constraint},
year={2012},
volume={E95-B},
number={1},
pages={313-316},
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).},
keywords={},
doi={10.1587/transcom.E95.B.313},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - Least Squares Constant Modulus Blind Adaptive Beamforming with Sparse Constraint
T2 - IEICE TRANSACTIONS on Communications
SP - 313
EP - 316
AU - Jun LI
AU - Hongbo XU
AU - Hongxing XIA
AU - Fan LIU
AU - Bo LI
PY - 2012
DO - 10.1587/transcom.E95.B.313
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2012
AB - 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).
ER -
English
