• Electronics Optics & Control
  • Vol. 24, Issue 7, 17 (2017)
JI Zhe, WANG Guo-hong, and ZHANG Xiang-yu
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2017.07.004 Cite this Article
    JI Zhe, WANG Guo-hong, ZHANG Xiang-yu. Discrimination of Multi-Range-False-Target Jamming for Radar Network Based on Radial Velocity Testing[J]. Electronics Optics & Control, 2017, 24(7): 17 Copy Citation Text show less

    Abstract

    Considering that the effect of the multi-range-false-target deception jamming discrimination becoming worse as the intensive degree of multi-range-false-target increases,we proposed a method based on radial velocity estimation of radar network to discriminate the false target.Firstly,benchmark radar was selected and measurements were classified into groups for preprocessing,and the target measurements of other radars were transformed into the coordinate system of the benchmark radar for measurements association,thus to eliminate the false measurements and clutter as well as decrease the amount of computation.Then,the radial velocity of target was estimated by using the position information after coordinate transformation,which was then tested with the benchmark radar radial velocity for discriminating the false targets.Simulation results verified that proposed method can achieve high correct discrimination rate,and track the true target stably.
    JI Zhe, WANG Guo-hong, ZHANG Xiang-yu. Discrimination of Multi-Range-False-Target Jamming for Radar Network Based on Radial Velocity Testing[J]. Electronics Optics & Control, 2017, 24(7): 17
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