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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Bibliographic Details
Published in:IEEE access 2023, Vol.11, p.135090-135105
Main Authors: Delamou, Mamady, Noubir, Guevara, Dang, Shuping, Amhoud, El Mehdi
Format: Article
Language:English
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
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Summary: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3337079