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A Radar-Communication Integrated Signal of OFDM Based on Four-Phase Code

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Machine Learning and Intelligent Communications (MLICOM 2020)

Abstract

Traditional radar signal has only detection function. With the advent of technologies such as Internet of Vehicles and driverless cars, radar-communication integrated signal has got more attention, which can realize communication and radar detection using the same signal. However, the uncertainty of communication information such as transmitting the same information continuously can influence radar detection performance. In this paper, a radar-communication integrated signal of OFDM based on four-phase code is proposed. This signal combines radar-communication integrated signal of OFDM with orthogonal four-phase-coded sequences optimized by genetic algorithm in MIMO radar, these four-phase-coded sequences form a set and the radar-communication integrated signal of OFDM can carry communication information by different permutations of these sequences without damaging radar detection performance. The simulation results show that the four-phase-coded sequences have good autocorrelation and cross-correlation properties, and the radar-communication integrated signal of OFDM using these sequences has good detection performance, which can meet the practical requirements.

This work was supported by the Fundamental Research Funds for the Central Universities [grant numbers HIT. MKSTISP. 2016 13].

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Correspondence to Honglin Zhao .

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Sun, J., Ma, Y., Shan, C., Zhao, H. (2021). A Radar-Communication Integrated Signal of OFDM Based on Four-Phase Code. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_8

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  • DOI: https://doi.org/10.1007/978-3-030-66785-6_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66784-9

  • Online ISBN: 978-3-030-66785-6

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