Pseudo-Random Coding Side-Lobe Suppression Method Based on CLEAN Algorithm

Liyu Tian, Lianjuan Zhang*, Jiaying Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A pseudo-random coding side-lobe suppression method based on CLEAN algorithm is introduced. The CLEAN algorithm mainly processes pulse compression results of a pseudo-random coding, and estimates a target's distance by a method named interpolation method, so that we can get an ideal pulse compression result of the target, and then use the adjusted ideal pulse compression side-lobe to cut the actual pulse compression result, so as to achieve the remarkable performance of side-lobe suppression for large targets, and let the adjacent small targets appear. The computer simulations by MATLAB with this method analyze the effect of side-lobe suppression in an ideal or noisy environment. It is proved that this method can effectively solve the problem due to the side-lobe of pseudo-random coding being too high, and can enhance the radar's multi-target detection ability.

Original languageEnglish
Pages (from-to)375-380
Number of pages6
JournalJournal of Beijing Institute of Technology (English Edition)
Volume26
Issue number3
DOIs
Publication statusPublished - 1 Sept 2017

Keywords

  • CLEAN algorithm
  • Interpolation method
  • Pseudo-random coding
  • Pulse compression

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