Range-Cell-Focusing Algorithm Combined with Enhanced MUSIC for Close Target Imaging

Yong Sun Cho, Hyun Kyo Jung, Changyul Cheon, Joonho So, Young Seek Chung

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


A range-cell-focusing algorithm is proposed in order to improve the quality of the target image. In a synthetic aperture radar (SAR) imaging system, the range resolution depends on the frequency bandwidth and determines the ability to distinguish between targets that are very close to each other. In cases where the resolution and the SNR from the environment are not adequate, targets cannot be accurately visualized. In order to successively classify targets that are close, we are combining an enhanced-multiple-signal-classification spectrum as a weighting function to reproduce the raw data. The proposed algorithm improves classification and separation for close targets while suppressing artifacts in the final images. The targets of interest are stationary point scatterers. The results are obtained from both simulated and experimental data to demonstrate that the proposed algorithm provides better performance than a conventional SAR imaging algorithm, the range migration algorithm.

Original languageEnglish
Article number7484317
Pages (from-to)1109-1113
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Issue number8
StatePublished - Aug 2016


  • Enhanced multiple signal classification (MUSIC) (eMUSIC)
  • range cell focusing (RCF) algorithm
  • range migration algorithm (RMA)
  • synthetic aperture radar (SAR)


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