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Keywords = scale discrete Fresnel transform (SDFnT)

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16 pages, 2775 KiB  
Article
SDFnT-Based Parameter Estimation for OFDM Radar Systems with Intercarrier Interference
by Jingqi Wang, Pingping Wang, Ruoyu Zhang and Wen Wu
Sensors 2023, 23(1), 147; https://doi.org/10.3390/s23010147 - 23 Dec 2022
Cited by 7 | Viewed by 2637
Abstract
The orthogonal frequency division multiplexing (OFDM) radar suffers from severe performance degradation in range-velocity estimation in high mobility scenarios. In this paper, a novel intercarrier interference (ICI)-free parameter estimation method for OFDM radar is proposed. By employing a scale discrete Fresnel transform (SDFnT), [...] Read more.
The orthogonal frequency division multiplexing (OFDM) radar suffers from severe performance degradation in range-velocity estimation in high mobility scenarios. In this paper, a novel intercarrier interference (ICI)-free parameter estimation method for OFDM radar is proposed. By employing a scale discrete Fresnel transform (SDFnT), the OFDM radar signals are converted to the scale Fresnel domain, and the orthogonality of subcarriers can be recovered with the optimal scale factor. Furthermore, due to the compatibility of the SDFnT and the discrete Fourier Transform (DFT), the proposed method has low computational complexity and high feasibility for OFDM radar implementation. Simulation results show that the proposed SDFnT-based scheme effectively eliminates the ICI effect for single and multiple targets and achieves high accuracy delay-Doppler estimation for OFDM radar systems in circumstances of high velocity and low SNR with consistency and robustness. Full article
(This article belongs to the Special Issue RADAR Sensors and Digital Signal Processing)
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