• DocumentCode
    3544065
  • Title

    Target range profiling algorithm for airborne microwave sensor detection system

  • Author

    Xiujuan, Hu ; Jiahao, Deng ; Zhifeng, Zhou ; Huiping, Sang

  • Author_Institution
    Coll. of Mech. Eng., Shanghai Univ. of Eng. Sci., Shanghai, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    The range profile is redundant and disordered because the sample interval time is less than transmitted pulse width. The accurate estimation and optimization of the target range profile are essential for realizing the airborne microwave sensor detection system. In this paper, an algorithm for the real-time estimation and optimization of the target range profile due to over-sampling is presented for the airborne stepped frequency pulse sensor system. Under the condition of over-sampling this new algorithm employs the FFT and optimization method to estimate and optimize the target range profile within antenna beam dwell time by using high speed DSP. Through the simulation of sensor data, the target range profile spectrum is measured and analyzed. The result of simulation is that this new algorithm can reduce the effect of over-sampling on the range profile and obtain high resolution range profile of target.
  • Keywords
    distance measurement; fast Fourier transforms; microwave detectors; optimisation; FFT; airborne microwave sensor detection system; airborne stepped frequency pulse sensor system; high speed DSP; optimization method; over-sampling; real-time estimation; target range profiling algorithm; Analytical models; Chirp modulation; Frequency synthesizers; Microwave measurements; Microwave sensors; Microwave technology; Optimization methods; Radar scattering; Sampling methods; Space vector pulse width modulation; IFFT; detection system; high resolution range profile; optimization algorithm; radar microwave sensor; stepped frequency pulse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274459
  • Filename
    5274459