Citation

Hasan, Nawaid and Abd. Aziz, Azlan and Mahmud, Azwan (2022) Vehicular Sensing and Localization Under NLOS in Vehicular Networks. In: 2nd FET PG Engineering Colloquium Proceedings 2022, 1-15 December 2022, Multimedia University, Malaysia. (Unpublished)

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Abstract

Background - In vehicular networks, the basic and important operation is accurate vehicular sensing. The proven and existing techniques have their own limitations especially in non-line-of-sight (NLoS) scenarios like detecting blocked vehicles (BV) at junctions or blocked by other bigger vehicles. For instance, various approaches are used for communication and reflection purpose which have low reliability, and high latency. Purpose – The existing approaches are incapable of detecting blocked vehicle without line-of-sight which is the main reason behind recent fatal accident in autonomous vehicles. The purpose of this research is to propose an elegant and novel method of BV sensing technology that exploits multi-path transmission from a blocked vehicle (BV) to a detecting vehicle (DV). Design/methodology/approach – This approach will prove itself as a new venture because it enables the DV to detect multiple BV-state parameters including position, orientation of driving direction, and size in urban environment. This research new design will utilize modelled multi-path knowledge which includes (AoA, AoD, and ToA) and their geometric relations by using the MUSIC algorithm. Findings – We will investigate the proposed vehicle sensing applications under the presence of multipath signals, and high Doppler frequency in DFRC system. Performance studies of the developed techniques will be evaluated and validated through Matlab simulation to examine the best performance achieved by the proposed techniques. Research limitations– The limitations are LOS issues for heavy objects, synchronization of signals and reliable transfer of data at high speed. Originality/value – A novel and effective vehicle sensing communication technique to mitigate the problem of hidden vehicle in vehicular communication systems.

Item Type:	Conference or Workshop Item (Other)
Uncontrolled Keywords:	Localization, vehicle sensing, DFRC, Doppler, Mobile communication systems
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	16 Feb 2023 08:25
Last Modified:	16 Feb 2023 08:25
URII:	http://shdl.mmu.edu.my/id/eprint/10864

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