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New method for modeling of temporal-spatial correlated K-distributed clutter based on weighted norm

  • Dan Huang*
  • , Da Zhi Zeng
  • , Teng Long
  • *Corresponding author for this work
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

A new method for modeling and simulation of temporal-spatial correlated K distributed clutter is proposed, based on weighted norm in discrete complex liner space. First, generate time-correlated clutter by the way of classic ZMNL or SIRP method; secondly, normalize the generated one-dimension clutter, then transform it into two-dimension clutter, which satisfy certain property, by liner matrix transformation; thirdly, iterate and improve the two-dimension clutter by solving the minimum weighted norm in discrete complex liner space. The proposed method is proved by theoretical derivation that the generated sequence satisfies the property of temporal-spatial clutter, which has certain time correlation, spatial correlation and amplitude. Finally, computer simulation proves the validity and feasibility of the model.

Original languageEnglish
Pages (from-to)210-213
Number of pages4
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume30
Issue number2
Publication statusPublished - Feb 2010

Keywords

  • Liner transform matrix
  • SIRP method
  • Temporal-spatial correlated clutter
  • Time corre-lated clutter
  • Weighted norm in discrete complex liner space
  • ZMNL method

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