Accurate Clutter Synthesis for Heterogeneous Textures and Dynamic Radar Environments

Donghoon Kim, Andrew Junghoon Park, Ui suk Suh, Dongwoo Goo, Donghwan Kim, Boram Yoon, Won Sang Ra, Sanghoek Kim

Research output: Contribution to journalArticlepeer-review


This paper proposes an accurate clutter synthesis method for a dynamic radar under various environmental conditions. Previous clutter synthesis methods mostly rely on empirical clutter models fitting the measurement results obtained from the limited conditions of observations. Inherently, these models have difficulties synthesizing clutter for unexplored environments and operational conditions. The method presented in this paper overcomes this limitation by creating and summing the clutter patch by patch. The clutters of individual patches are synthesized by the clutter model corresponding to each patch's specific conditions, such as the grazing angle, ground texture, and wind velocity. It enables one to synthesize clutter signals under various observation scenarios accurately. For example, this work demonstrates the synthesis of clutter signals from heterogeneous textures for an aircraft radar on a mission. Also, the clutter signals for a monopulse radar are synthesized and included in the radar simulation to evaluate the performance of a detection and tracking algorithm. Potentially, this method can be utilized to design a robust radar algorithm against the clutter environment of interests. For a given condition of measurement, it is shown that the synthesized clutters agree well with the actual measured data in their statistical characteristics. The program is freely available through the open code.

Original languageEnglish
JournalIEEE Transactions on Aerospace and Electronic Systems
Publication statusAccepted/In press - 2022


  • Atmospheric modeling
  • Clutter
  • dynamic
  • heterogeneous
  • land clutter
  • patchwise summation method
  • Radar
  • Radar antennas
  • Radar clutter
  • Radar signal processing
  • sea clutter
  • Sea measurements


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