FOPEN SAR imaging using UWB step-frequency and random noise waveforms

X. U. Xiaojian, Ram M. Narayanan

Research output: Contribution to journalArticlepeer-review

76 Scopus citations


The detection and identification of targets obscured by foliage have been topics of great interest Several synthetic aperture radar (SAR) experiments have demonstrated promising images of terrain and man-made objects obscured by dense foliage, by using either linear frequency modulation (LFM) or step-frequency waveforms. We present here the methodology and results of a comparative study on foliage penetration (FOPEN) SAR imaging using ultrawideband (UWB) step-frequency and random noise waveforms. A statistical-physical foliage transmission model is developed for simulation applications. The foliage obscuring pattern is analyzed by means of the technique of paired echoes. The results of the comparative study demonstrates the ability of a UHF band UWB random noise radar to be used as a FOPEN SAR. Advantages of the random noise radar system include covert detection and immunity to radio frequency interference (RFI).

Original languageEnglish (US)
Pages (from-to)1287-1300
Number of pages14
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number4
StatePublished - Oct 2001

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering


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