• DocumentCode
    1471005
  • Title

    Semidefinite Relaxation of Quadratic Optimization Problems

  • Author

    Luo, Zhi-Quan ; Ma, Wing-Kin ; So, Anthony Man-Cho ; Ye, Yinyu ; Zhang, Shuzhong

  • Author_Institution
    Peking Univ., Beijing, China
  • Volume
    27
  • Issue
    3
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    20
  • Lastpage
    34
  • Abstract
    In this article, we have provided general, comprehensive coverage of the SDR technique, from its practical deployments and scope of applicability to key theoretical results. We have also showcased several representative applications, namely MIMO detection, B¿ shimming in MRI, and sensor network localization. Another important application, namely downlink transmit beamforming, is described in [1]. Due to space limitations, we are unable to cover many other beautiful applications of the SDR technique, although we have done our best to illustrate the key intuitive ideas that resulted in those applications. We hope that this introductory article will serve as a good starting point for readers who would like to apply the SDR technique to their applications, and to locate specific references either in applications or theory.
  • Keywords
    MIMO communication; magnetic resonance imaging; optimisation; wireless sensor networks; MIMO detection; MRI; SDR technique; downlink transmit beamforming; quadratic optimization problems; semidefinite relaxation; sensor network localization; Array signal processing; Downlink; Ellipsoids; MIMO; Magnetic resonance imaging; Parameter estimation; Radar applications; Robustness; Signal processing; Speech recognition;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2010.936019
  • Filename
    5447068