Convex Optimization and its Applications in Robust Adaptive Beamforming

被引：0
|
作者：
Yu, Z. L. [1 ]
Gu, Z. [1 ]
Ser, W. [2 ]
Er, M. H. [2 ]
机构：
[1] S China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China
[2] Nanyang Technol Univ, Sch EEE, Singaproe 639798, Singapore
来源：
2013 9TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING (ICICS) | 2013年
关键词：
Convex Optimization; Robust adaptive beamforming; adaptive array; constraints on magnitude response; worst-case optimization; SPECTRAL FACTORIZATION; CONSTRAINTS;
D O I：
暂无
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：
Convex optimization plays an important role in science and engineering research. In many signal processing applications, convex optimization is one of the critical mathematical tools. For example, robust adaptive beamformer is always formulated as quadratic optimization problem with some linear or quadratic constraints. In this paper, we review some of the progresses of our group on using Constraints on Magnitude Response (CMRs) for robust adaptive beamforming. Some mathematical skills on how to transform the beamformer with CMRs into convex programming problems are introduced. With proper convex formulations, the proposed beamformers posses simple implementation, flexible performance control, as well as significant SINR enhancement.
引用
收藏
页数：5
相关论文
共 50 条
  • [41] Robust adaptive beamforming for broadband arrays
    Zhang, M
    Er, MH
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 1997, 16 (02) : 207 - 216
  • [42] A comparison of robust adaptive beamforming algorithms
    Ward, J
    Cox, H
    Kogon, SM
    [J]. CONFERENCE RECORD OF THE THIRTY-SEVENTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 2003, : 1340 - 1344
  • [43] Robust adaptive beamforming using iterative adaptive approach
    Meng, Zhen
    Zhou, Weidong
    [J]. JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS, 2019, 33 (04) : 504 - 519
  • [44] The Robust Constant and Its Applications in Global Optimization
    Peng, Zheng
    Wu, Donghua
    Zhu, Wenxing
    [J]. ADVANCES IN GLOBAL OPTIMIZATION, 2015, 95 : 459 - 470
  • [45] ON ROBUST CONVEX MULTIOBJECTIVE OPTIMIZATION
    Kuroiwa, Daishi
    Lee, Gue Myung
    [J]. JOURNAL OF NONLINEAR AND CONVEX ANALYSIS, 2014, 15 (06) : 1125 - 1136
  • [46] Distributionally Robust Convex Optimization
    Wiesemann, Wolfram
    Kuhn, Daniel
    Sim, Melvyn
    [J]. OPERATIONS RESEARCH, 2014, 62 (06) : 1358 - 1376
  • [47] Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization
    Vakili, Sattar
    Salgia, Sudeep
    Zhao, Qing
    [J]. 2019 57TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), 2019, : 432 - 438
  • [48] QUADRATIC OPTIMIZATION PROBLEMS IN ROBUST BEAMFORMING
    ER, MH
    [J]. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 1990, 66 (03) : 431 - 442
  • [49] Steering vector optimization using subspace-based constraints for robust adaptive beamforming
    Pan Zhang
    [J]. Multidimensional Systems and Signal Processing, 2021, 32 : 1083 - 1102
  • [50] The optimal loading of robust adaptive beamforming based on worst-case performance optimization
    Lin Jing-Ran
    Peng Qi-Cong
    [J]. 2006 6TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS PROCEEDINGS, 2006, : 353 - +
12345