• DocumentCode
    3056699
  • Title

    Optimum waveform design and simulation with energy constraint for elastic targets

  • Author

    Bingqi Zhu ; Kaizhi Wang ; Xingzhao Liu ; Jianjun Li

  • Author_Institution
    Dept. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    1676
  • Lastpage
    1679
  • Abstract
    In this paper, we apply the optimum waveform design method to meet the application of elastic targets detection and aim at enhance the target detection rate. The target is assumed to be Gaussian elastic targets and the clutter is assumed to be a stationary Gaussian random process. The detection problem then is described using Neyman-Pearson Detector. The waveform design solutions for elastic targets are given theoretically, and numerical simulated results are presented based on different transmit energy and comparison results between optimum signal and LFM signal are shown. Finally, the conclusions are drawn based on our analysis and simulations.
  • Keywords
    Gaussian processes; numerical analysis; object detection; radar interference; radar signal processing; random processes; Gaussian elastic target detection; Neyman-Pearson detector; energy constraint; interference signal suppression; noise signal suppression; optimum waveform design; optimum waveform simulation; radar; stationary Gaussian random process; target detection rate enhancement; Clutter; Detectors; Radar; Random processes; Signal to noise ratio; NP detector; Waveform design; radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723116
  • Filename
    6723116