Compressive Antenna Pattern Measurement: A Case Study in Practical Compressive Sensing

被引:1
作者
Don, Michael [1 ]
机构
[1] DEVCOM Army Res Lab, Weap & Mat Res Directorate, Aberdeen Proving Ground, MD 21005 USA
来源
2022 IEEE AUTOTESTCON | 2022年
关键词
compressive sensing; antenna measurement; optimization methods; instrumentation and measurement techniques;
D O I
10.1109/AUTOTESTCON47462.2022.9984799
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Compressive sensing has emerged as powerful signal processing technique that has been applied to many different types of measurement; enhancing systems in terms of power consumption, memory usage, resolution, and measurement speed. Although compressive sensing has experienced tremendous growth in theoretical research, successful commercial applications of compressive sensing have developed slowly. In many cases, alternative sensing strategies will outperform compressive sensing in real-world situations. In order to design a successful compressive sensing system, it is crucial to not only understand compressive sensing's strengths, but also its limitations. An intuitive introduction to compressive sensing is presented to describe how compressive sensing can be applied to practical measurement problems. The essential aspects of compressive sensing are explained, and common misunderstanding are addressed. Finally, compressive antenna pattern measurement is presented as case study, inspiring compressive sensing to be used in other applications in the automatic test community.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Optimized Measurement Matrix for Compressive Sensing
    Honglin Huang
    Anamitra Makur
    Sampling Theory in Signal and Image Processing, 2013, 12 (1): : 71 - 86
  • [2] Practical Compressive Sensing with Toeplitz and Circulant Matrices
    Yin, Wotao
    Morgan, Simon
    Yang, Junfeng
    Zhang, Yin
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2010, 2010, 7744
  • [3] A performance comparison of measurement matrices in compressive sensing
    Arjoune, Youness
    Kaabouch, Naima
    El Ghazi, Hassan
    Tamtaoui, Ahmed
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2018, 31 (10)
  • [4] An efficient optimization of measurement matrix for compressive sensing
    Patel, Saumya
    Vaish, Ankita
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2023, 95
  • [5] A study of Optimum Sampling Pattern for Reconstruction of MR Images using Compressive Sensing
    Shrividya, G.
    Bharathi, S. H.
    2018 SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRONICS, COMPUTERS AND COMMUNICATIONS (ICAECC), 2018,
  • [6] Compressive Autonomous Sensing (CASe) for Wideband Spectrum Sensing
    Sun, Hongjian
    Nallanathan, Arumugam
    Jiang, Jing
    Poor, H. Vincent
    2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012,
  • [7] Study and discussion on the theory of compressive sensing
    Zhu, Ying
    Jia, Yongxing
    Wang, Yuan
    MEASUREMENT TECHNOLOGY AND ITS APPLICATION, PTS 1 AND 2, 2013, 239-240 : 1462 - 1465
  • [8] Compressive Sensing as Applied to Antenna Arrays: Synthesis, Diagnosis, and Processing
    Massa, A.
    Bertolli, M.
    Gottardi, G.
    Hannan, A.
    Marcantonio, D.
    Oliveri, G.
    Polo, A.
    Robol, F.
    Rocca, P.
    Viani, F.
    2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2018,
  • [9] A Novel Antenna Placement Algorithm for Compressive Sensing MIMO Radar
    Eisele, Bastian
    Bereyhi, Ali
    Ullmann, Ingrid
    Mueller, Ralf
    2023 IEEE RADAR CONFERENCE, RADARCONF23, 2023,
  • [10] Compressive sensing scalp EEG signals: implementations and practical performance
    Amir M. Abdulghani
    Alexander J. Casson
    Esther Rodriguez-Villegas
    Medical & Biological Engineering & Computing, 2012, 50 : 1137 - 1145