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DSSS Transmission Technique to Joint Radar Sensing and Wireless Communications in V2V System

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Web, Artificial Intelligence and Network Applications (WAINA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1150))

Abstract

A ‘RadCom’ system allows for the combination of automotive radar sensing and wireless communication applications, while relying on a single hardware platform with a single transmission waveform. By using the joint millimeter-wave signals, both radar and communication applications could be operated simultaneously, thus granting the pervasive availability of both functions. This paper presents an end-to-end simulation of a complete RadCom system in order to assess the feasibility and efficiency of performing both radar and communication functions using the joint millimeter-wave in the context of Vehicle to Vehicle (V2V) systems. We propose the use of 77 GHz radio frequency and show, through various simulations, its suitability for both applications. Through the evaluation of the auto-correlation function we optimized radar parameters between vehicles. For the communication function, we evaluate the Bit Error Rate (BER) using the pulse jamming method. Through simulations show that our system outperforms existing schemes.

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Acknowledgment

This work is supported by the H2020 SECREDAS projects under ECSEL JU (Call Research and Innovation Actions 2017).

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Authors and Affiliations

  1. InnovCom Lab, Higher School of Communication of Tunis, Ariana, Tunisia

    Khaoula Ammar, Oussama Ben Haj Belkacem & Ridha Bouallegue

Authors
  1. Khaoula Ammar
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  2. Oussama Ben Haj Belkacem
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  3. Ridha Bouallegue
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Corresponding author

Correspondence to Khaoula Ammar .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Electrical Engineering and Information Technology, University of Naples “Frederico II”, Naples, Italy

    Flora Amato

  3. Department of Political Science, University of Campania Luigi Vanvitelli, Caserta, Italy

    Francesco Moscato

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  5. Department of Advanced Sciences, Hosei University, Tokyo, Japan

    Makoto Takizawa

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Ammar, K., Ben Haj Belkacem, O., Bouallegue, R. (2020). DSSS Transmission Technique to Joint Radar Sensing and Wireless Communications in V2V System. In: Barolli, L., Amato, F., Moscato, F., Enokido, T., Takizawa, M. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2020. Advances in Intelligent Systems and Computing, vol 1150. Springer, Cham. https://doi.org/10.1007/978-3-030-44038-1_34

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