Integration of hybrid communication and remote sensing for ITS application

Arghya Guchhait (), B. Maji and D. Kandar
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Arghya Guchhait: NIT Durgapur
B. Maji: NIT Durgapur
D. Kandar: North East Hill University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2020, vol. 74, issue 4, No 9, 529 pages

Abstract: Abstract Intelligent transportation system is a prominent technology solution for the vehicle manufacturers in this present scenario. The manufacturers are trying to deploy an advanced system for automation through sensing. Various technologies are being used to communicate with other near-by vehicle and to sense their perspective on the road. The important problem is to share the radar and communication information with other vehicles without any time delay. The vehicles uses a different hardware system for establishing radar sensing and communication concurrently, which increases the cost and bandwidth requirement of the overall system. Instead of using multiple system and hardware separately for communication and remote sensing, a single hybrid system might be a cost effective solution which will serve both communication and remote sensing requirements. This work proposes a concept for integrating radar sensing and hybrid communication system (IRSHCS) with multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) in a single hardware known as software defined radio. It serves simultaneous remote sensing and communication to the vehicle user without delay with the dedicated short range communication system and worldwide interoperability for microwave access. Moreover, an optimization problem is formulated to improve the performance of IRSHCS, which focuses on sharing both the radar and communication between the vehicles without any time delay by satisfying the radar and communication system requirements with suitable parameters. The whale optimization algorithm generates an optimal solution to solve the limitations of the hybrid system by choosing maximum channel capacity as its objective function. Experimental results are evaluated to demonstrate the IRSHCS MIMO OFDM system provide better performance as compared to the conventional approaches.

Keywords: Intelligent transportation system; Radar system; Multiple input multiple output; Software defined radio; Whale optimization algorithm (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11235-020-00664-y

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