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A Classification Based Method for Target Detection
M. Sahnoon, , U. Tariq, H. Mir
Published in Institute of Electrical and Electronics Engineers (IEEE)
A directional source of interference such as jamming can be rejected using a phased array. A common approach to achieve this is to use adaptive beamforming, wherein appropriate weights are selected that form a null at the jammer angles while preserving gain in the target look direction. This paper proposes a novel alternative approach that uses techniques from pattern classification in order to detect a target in the presence of jamming. Simulation results show that the proposed method improves target detection accuracy for situations in which the jammer and target angles are closely spaced. © 2019 IEEE.
About the journal
JournalData powered by Typeset2019 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers (IEEE)
Open AccessNo
Concepts (3)
  •  related image
    Adaptive beamforming
  •  related image
    Linear classifi-cation
  •  related image
    Jammer suppression