ARESIA-OZOIR's active target is a convincing tool to train electronic warfare with SkyRadar's NextGen 8 GHz Pulse radar.French manufacturer ARESIA-OZOIR (formerly Lun'tech) is known for its Luneberg radar reflectors and its active radar reflectors used to :

  • Maximize radar visibility (RCS) of targets (Armed Forces training for radar-guided shooting)
  • Test the performance of radars in all modes (Qualification, calibration and commissioning of radar systems)

The manufacturer has launched a special version of an active target, operating with low emission power on the 8-18 GHz Frequency band. The device is optimized on electronic warfare training with SkyRadar's NextGen 8 GHz Pulse Radar Training System.

Watch the video, which we produced in a session with experts from ARESIA-OZOIR and SkyRadar. We show how the Luneberg Lens can be used to produce big radar cross sections. And then we use the active target to lock in the radar and drag its interest away from the lense's strong RCS, by even producing a bigger RCS and pushing the lense's reflection close to noise threshold. In an operational setting, the real target would disappear below that threshold. The deceptor's mission to hide it would be accomplished.

The video shows nicely how we can create range deception - in our training setting with varying cable lenghts with different dielectric factors. The system can also provide speed deception through a superimposed Doppler frequency.

The active target but also the Luneberg lense can be purchased at together with the complete radar and Electronic Warfare training infrastructure. You can also acquire it directly from ARESIA-OZOIR, where you can benefit from their portfolio of lenses and other calbiration oriented targets.

The sessions with the experts generated lots of videos and radar logs which we will share in this series. You will also learn how to react on and dismantle jamming attacks.

So stay tuned, and call us to discuss the suitable EW training solution for your military academy or university.

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We thank Florent Christophe for contributing to this EW experimentation session.

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