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Liyu Tian, Lianjuan Zhang, Jiaying Li. Pseudo-Random Coding Side-Lobe Suppression Method Based on CLEAN Algorithm[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2017, 26(3): 375-380. doi: 10.15918/j.jbit1004-0579.201726.0313
Citation: Liyu Tian, Lianjuan Zhang, Jiaying Li. Pseudo-Random Coding Side-Lobe Suppression Method Based on CLEAN Algorithm[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2017, 26(3): 375-380.doi:10.15918/j.jbit1004-0579.201726.0313
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Pseudo-Random Coding Side-Lobe Suppression Method Based on CLEAN Algorithm

doi:10.15918/j.jbit1004-0579.201726.0313

  • School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2017-04-10
    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.
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