Page 13 - ITU Journal Future and evolving technologies – Volume 2 (2021), Issue 2
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 2



               Doors in the sky: Detection, localization and classification of aerial
               vehicles using laser mesh


               Pages 139-156
               Wahab Khawaja, Ender Ozturk, Ismail Guvenc

               Stealth technology and Unmanned Aerial Vehicles (UAVs) are expected to dominate current and future
               aerial warfare. The radar systems at their maximum operating ranges, however, are not always able to
               detect stealth and small UAVs mainly due to their small radar cross sections and/or low altitudes. In
               this paper, a novel technique as an alternative to radar technology is proposed. The proposed approach
               is based on creating a mesh structure of laser beams initiated from aerial platforms towards the ground.
               The laser mesh acts as a virtual net in the sky. Any aerial vehicle disrupting the path of the laser beams
               are detected and subsequently localized and tracked. As an additional feature, steering of the beams can
               be used for increased coverage and improved localization and classification performance. A database
               of different types of aerial vehicles is created artificially based on Gaussian distributions. The database
               is used to develop several Machine Learning (ML) models using different algorithms to classify a target.
               Overall, we demonstrated through simulations that our proposed model achieves simultaneous detection,
               classification, localization, and tracking of a target.
               View Article


               Equal-gain combining with interference mitigation for molecular type
               hopping assisted molecular shift keying systems


               Pages 157-164
               Weidong Gao, Terrence Mak, Lie-Liang Yang

               In multiple access molecular diffusive communications, many nano-machines exchange information
               and fuse data through a common Diffusive Molecular Communication (DMC) channel. Hence, there is
               Multiple-Access Interference (MAI), which should be sufficiently mitigated so as to achieve reliable
               communications. In this paper, we propose a novel low-complexity detection scheme, namely Equal-
               Gain Combining with Interference Mitigation (EGC-IM), for signal detection in the Molecular Type
               Hopping assisted Molecular Shift Keying (MTH-MoSK) DMC systems. By removing a number of
               entries from each row of the detection matrix formed during detection, the EGC-IM scheme shows its
               potential  to  significantly  mitigate  MAI  and  hence,  outperform  the  conventional  EGC  scheme.
               Furthermore,  the  EGC-IM  scheme  has  lower  complexity  than  the  conventional  EGC  scheme  and
               therefore, it is beneficial for practical implementation.
               View Article


























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