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International Symposium on Antennas and Propagation (ISAP)

作者： Shi, Wanlu Li, Yingsong Harbin Engn Univ Coll Informat & Commun Engn Harbin 150001 Heilongjiang Peoples R China Chinese Acad Sci Natl Space Sci Ctr Key Lab Microwave Remote Sensing Beijing 100190 Peoples R China

ISBN: (纸本)9788957083048

An l(0)-norm constrained normalized LMS algorithm (L-0-CNLMS) is proposed to implement sparse controllable adaptive antenna array beamforming. The proposed L-0-CNLMS algorithm exerts an l(0)-norm penalty on the filter coefficients based on the constrained NLMS (CNLMS) algorithm, which aims to put the solution towards sparsity. By introducing the l(0)-norm constraint into the quantities of antenna elements in using, the beam of the array can be controlled to a certain degree. To reduce the computation burden, an approximating l(0)-norm realization method is utilized. The simulation experiments are created to prove that the L-0-CNLMS algorithm is effective in sparse adaptive array beamforming as well as controlling the amount of antenna elements.

关键词： l(0)-norm sparse controllable array constrained NLMS algorithm adaptive beamforming

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sparse controllable Adaptive array Beamforming with Improved array Element Utilization

Sparse Controllable Adaptive Array Beamforming with Improved...

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International Symposium on Antennas and Propagation

作者： Wanlu Shi Yingsong Li College of Information and Communication Engineering Harbin Engineering University Harbin China Key Laboratory of Microwave Remote Sensing National Space Science Center CAS Beijing China

ISBN: (纸本)9781538653890;9788957083048

An l_0-norm constrained normalized LMS algorithm (L_0-CNLMS) is proposed to implement sparse controllable adaptive antenna array beamforming. The proposed L_0-CNLMS algorithm exerts an l_0-norm penalty on the filter coefficients based on the constrained NLMS (CNLMS) algorithm, which aims to put the solution towards sparsity. By introducing the l_0-norm constraint into the quantities of antenna elements in using, the beam of the array can be controlled to a certain degree. To reduce the computation burden, an approximating l_0-norm realization method is utilized. The simulation experiments are created to prove that the L_0-CNLMS algorithm is effective in sparse adaptive array beamforming as well as controlling the amount of antenna elements.

关键词： L_0-norm sparse controllable array Constrained NLMS algorithm Adaptive beamforming

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controllable sparse Antenna array for Adaptive Beamforming

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IEEE ACCESS 2019年 7卷 6412-6423页

作者： Shi, Wanlu Li, Yingsong Zhao, Luyu Liu, Xiaoguang Harbin Engn Univ Coll Informat & Commun Engn Harbin 150001 Heilongjiang Peoples R China Chinese Acad Sci Natl Space Sci Ctr Key Lab Microwave Remote Sensing Beijing 100190 Peoples R China Xidian Univ Key Lab Antennas & Microwave Technol Xian 710071 Shaanxi Peoples R China Univ Calif Davis Elect & Comp Engn Davis CA 95616 USA

We propose an l(0)-norm constrained normalized least-mean-square (CNLMS) adaptive beamforming algorithm for controllable sparse antenna arrays. To control the sparsity of the antenna array, an l(0)-norm penalty is used as a constraint in the CNLMS algorithm. The proposed algorithm inherits the advantages of the CNLMS algorithm in beamforming. The l(0)-norm constraint can force the quantities of antennas to a certain number to control the sparsity by selecting a suitable parameter. In addition, the proposed algorithm accelerates the convergence process compared with the existing algorithms in sparse array beamforming, and its convergence is presented in this paper. To reduce the computation burden, an approximating l(0)-norm method is employed. The performance of the proposed algorithm is analyzed through simulations for various array configurations.

关键词： l(0)-norm sparse controllable array NLMS algorithm constrained adaptive beamforming

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Investigation on sparse controllable Adaptive Beamforming for Irregular arrays

Investigation on Sparse Controllable Adaptive Beamforming fo...

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International Applied-Computational-Electromagnetics-Society Symposium - China (ACES)

作者： Shi, Wanlu Li, Yingsong Zhao, Luyu Harbin Engn Univ Coll Informat & Commun Engn Harbin 150001 Heilongjiang Peoples R China Chinese Acad Sci Natl Space Sci Ctr Key Lab Microwave Remote Sensing Beijing 100190 Peoples R China Xidian Univ Natl Key Lab Antennas & Microwave Technol Xian 710071 Peoples R China

ISBN: (纸本)9780996007849

An l(0)-norm constrained normalized LMS algorithm (l(0)-CNLMS) is utilized to realize sparse controllable adaptive array beamforming. The l(0)-CNLMS algorithm exerts an l(0)-norm penalty on the filter coefficients of the constrained normalized LMS algorithm, aiming to put the solution towards sparsity. By introducing the l(0)-norm constraint, the effective elements used in the array can be effectively controlled to a certain number. Approximating l(0)-norm implementation method is considered to reduce the computation burden. Simulations are carried out to prove that the l(0)-CNLMS algorithm is valid for sparse adaptive array beamforming as well as controlling the amounts of effective antennas.

关键词： l(0)-norm sparse controllable array constrained NLMS algorithm adaptive beamforming

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