An Efficient OFDM-Based Monostatic Radar Design for Multitarget Detection

In this paper, we propose a monostatic radar design for multitarget detection based on orthogonal-frequency division multiplexing (OFDM), where the monostatic radar is co-located with the transmit antenna. The monostatic antenna has the perfect knowledge of the transmitted signal and listens to echo...

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Published in:	IEEE access Vol. 11; p. 1
Main Authors:	Delamou, Mamady, Noubir, Guevara, Dang, Shuping, Amhoud, El Mehdi
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Antennas Channel estimation Fourier slice theorem Fourier transforms joint communication and radar sensing (JCAS) monostatic radar Moving targets OFDM Orthogonal Frequency Division Multiplexing Parameterization Radar Radar antennas Radar detection Sensors Signal processing algorithms Signal to noise ratio Target detection Zadoff-Chu precoding
ISSN:	2169-3536, 2169-3536
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Abstract	In this paper, we propose a monostatic radar design for multitarget detection based on orthogonal-frequency division multiplexing (OFDM), where the monostatic radar is co-located with the transmit antenna. The monostatic antenna has the perfect knowledge of the transmitted signal and listens to echoes coming from the reflection of fixed or moving targets. We estimate the target parameters, i.e., range and velocity, using a two-dimensional (2D) periodogram. By this setup we improve the periodogram estimation performance under the condition of low signal-to-noise ratio (SNR) using Zadoff-Chu precoding (ZCP) and the discrete Fourier transform channel estimation (DFT-CE). Furthermore, since the dimensions of the data matrix can be much higher than the number of targets to be detected, we investigate the sparse Fourier transform-based Fourier projection-slice (FPS-SFT) algorithm and compare it to the 2D periodogram. An appropriate system parameterization in the industrial, scientific, and medical (ISM) band of 77 GHz, allows to achieve a range resolution of 30.52 cm and a velocity resolution of 66.79 cm/s.
AbstractList	In this paper, we propose a monostatic radar design for multitarget detection based on orthogonal-frequency division multiplexing (OFDM), where the monostatic radar is co-located with the transmit antenna. The monostatic antenna has the perfect knowledge of the transmitted signal and listens to echoes coming from the reflection of fixed or moving targets. We estimate the target parameters, i.e., range and velocity, using a two-dimensional (2D) periodogram. By this setup we improve the periodogram estimation performance under the condition of low signal-to-noise ratio (SNR) using Zadoff-Chu precoding (ZCP) and the discrete Fourier transform channel estimation (DFT-CE). Furthermore, since the dimensions of the data matrix can be much higher than the number of targets to be detected, we investigate the sparse Fourier transform-based Fourier projection-slice (FPS-SFT) algorithm and compare it to the 2D periodogram. An appropriate system parameterization in the industrial, scientific, and medical (ISM) band of 77 GHz, allows to achieve a range resolution of 30.52 cm and a velocity resolution of 66.79 cm/s.
Author	Dang, Shuping Noubir, Guevara Delamou, Mamady Amhoud, El Mehdi
Author_xml	– sequence: 1 givenname: Mamady orcidid: 0000-0002-4084-7156 surname: Delamou fullname: Delamou, Mamady organization: College of Computing, Mohammed VI Polytechnic University, Benguerir, Morocco – sequence: 2 givenname: Guevara orcidid: 0000-0001-5876-2874 surname: Noubir fullname: Noubir, Guevara organization: Khoury College of Computer Sciences, Northeastern University, Boston, USA – sequence: 3 givenname: Shuping orcidid: 0000-0002-0018-815X surname: Dang fullname: Dang, Shuping organization: Department of Electrical and Electronic Engineering, University of Bristol, Bristol, UK – sequence: 4 givenname: El Mehdi orcidid: 0000-0001-6630-5083 surname: Amhoud fullname: Amhoud, El Mehdi organization: College of Computing, Mohammed VI Polytechnic University, Benguerir, Morocco
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SubjectTerms	Algorithms Antennas Channel estimation Fourier slice theorem Fourier transforms joint communication and radar sensing (JCAS) monostatic radar Moving targets OFDM Orthogonal Frequency Division Multiplexing Parameterization Radar Radar antennas Radar detection Sensors Signal processing algorithms Signal to noise ratio Target detection Zadoff-Chu precoding
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Title	An Efficient OFDM-Based Monostatic Radar Design for Multitarget Detection
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