Distortionless Beamforming Optimized With l1-Norm Minimization

被引：9
|
作者：
Emura, Satoru [1 ]
Araki, Shoko [2 ]
Nakatani, Tomohiro [2 ]
Harada, Noboru [1 ]
机构：
[1] Nippon Telegraph & Tel Corp, Media Intelligence Labs, Musashino, Tokyo 1808585, Japan
[2] Nippon Telegraph & Tel Corp, Commun Sci Labs, Kyoto 6190237, Japan
来源：
IEEE SIGNAL PROCESSING LETTERS | 2018年 / 25卷 / 07期
关键词：
Beamformer; l(1) norm; minimum power distortionless response (MPDR); source separation; SPEECH; DECOMPOSITION; SEPARATION; ROOM;
D O I：
10.1109/LSP.2018.2834870
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We proposea beamforming method that minimizes the l(1) norm of a beamformer output vector under the same distortionless constraint as that of the conventional minimum power distortionless response (MPDR) beamformer. Using the l(1) norm makes the beamformer output sparse. This leads to reducing the residual elements of the interference signal. In addition, the sensitivity of the proposed beamformer can be controlled by adding a norm constraint as in the MPDR beamformer. The proposed method improved the signal-to-interference-noise ratio by 7 dB from that of the MPDR beamformer for reverberation time T-60 = 300 ms in a simulation.
引用
收藏
页码：936 / 940
页数：5
相关论文
共 50 条
  • [41] A NEW ALGORITHM FOR NONLINEAR L1-NORM MINIMIZATION WITH NONLINEAR EQUALITY CONSTRAINTS
    SOLIMAN, SA
    CHRISTENSEN, GS
    ROUHI, AH
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 1991, 11 (01) : 97 - 109
  • [42] SMOOTHING APPROXIMATIONS FOR LEAST SQUARES MINIMIZATION WITH L1-NORM REGULARIZATION FUNCTIONAL
    Nkansah, Henrietta
    Benyah, Francis
    Amankwah, Henry
    INTERNATIONAL JOURNAL OF ANALYSIS AND APPLICATIONS, 2021, 19 (02): : 264 - 279
  • [43] Comparison of l∞-norm and l1-norm optimization criteria for SIR-balanced multi-user beamforming
    Schubert, M
    Boche, H
    SIGNAL PROCESSING, 2004, 84 (02) : 367 - 378
  • [44] Notes on quantum coherence with l1-norm and convex-roof l1-norm
    Zhu, Jiayao
    Ma, Jian
    Zhang, Tinggui
    QUANTUM INFORMATION PROCESSING, 2021, 20 (12)
  • [45] ALGORITHM FOR L1-NORM MINIMIZATION WITH APPLICATION TO NON-LINEAR L1-APPROXIMATION
    ELATTAR, RA
    VIDYASAGAR, M
    DUTTA, SRK
    SIAM JOURNAL ON NUMERICAL ANALYSIS, 1979, 16 (01) : 70 - 86
  • [46] A Shrinkage L1-Norm Constrained LMS Algorithm for Adaptive Sparse Array Beamforming
    Shi, Wanlu
    Li, Yingsong
    PROCEEDINGS OF THE 2019 9TH IEEE-APS TOPICAL CONFERENCE ON ANTENNAS AND PROPAGATION IN WIRELESS COMMUNICATIONS (IEEE APWC' 19), 2019, : 281 - 284
  • [47] Supporting vectors for the l1-norm and the l∞-norm and an application
    Sanchez-Alzola, Alberto
    Garcia-Pacheco, Francisco Javier
    Naranjo-Guerra, Enrique
    Moreno-Pulido, Soledad
    MATHEMATICAL SCIENCES, 2021, 15 (02) : 173 - 187
  • [48] Beampattern Synthesis using Reweighted l1-Norm Minimization and Array Orientation Diversity
    Chen, Hui
    Wan, Qun
    Fan, Rong
    RADIOENGINEERING, 2013, 22 (02) : 602 - 609
  • [49] Robust Distance Metric Learning via Simultaneous l1-Norm Minimization and Maximization
    Wang, Hua
    Nie, Feiping
    Huang, Heng
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 32 (CYCLE 2), 2014, 32 : 1836 - 1844
  • [50] Pedestrian detection in images via cascaded L1-norm minimization learning method
    Xu, Ran
    Jiao, Jianbin
    Zhang, Baochang
    Ye, Qixiang
    PATTERN RECOGNITION, 2012, 45 (07) : 2573 - 2583
12345