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. 2022 Dec 23;23(1):147.
doi: 10.3390/s23010147.

SDFnT-Based Parameter Estimation for OFDM Radar Systems with Intercarrier Interference

Jingqi Wang  1 , Pingping Wang  1 , Ruoyu Zhang  1 , Wen Wu  1
Affiliations

SDFnT-Based Parameter Estimation for OFDM Radar Systems with Intercarrier Interference

Jingqi Wang et al. Sensors (Basel). .

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), 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.

Keywords: intercarrier interference (ICI); orthogonal frequency division multiplexing (OFDM); radar; scale discrete Fresnel transform (SDFnT).

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flow chart of the proposed scheme.
Figure 2
Figure 2
Estimation accuracy comparison in terms of SNR (a) RMSE for the range estimation (b) RMSE for the velocity estimation.
Figure 3
Figure 3
Estimation accuracy comparison in terms of velocity (a) RMSE for the range estimation (b) RMSE for the velocity estimation.
Figure 4
Figure 4
Normalized range-velocity image of a one-point target with R = 400 m and V = 260 m/s, level in dB. (a) SDFnT-based method. (b) 2D-FFT method.
Figure 5
Figure 5
Single-target results in terms of SNR (a) RMSE for the range estimation (b) RMSE for the velocity estimation.
Figure 6
Figure 6
Single-target results in terms of velocity (a) RMSE for the range estimation (b) RMSE for the velocity estimation.
Figure 7
Figure 7
Normalized range-velocity image of three clustered targets with R = [400 m, 400 m, and 394 m] and V = [260 m/s, 253 m/s, and 260 m/s], level in dB (a) Using the SDFnT-based method (b) Using the 2D-FFT method.
Figure 8
Figure 8
Clustered multi-target results in terms of SNR (a) RMSE for the range estimation (b) RMSE for the velocity estimation.
Figure 9
Figure 9
Scattered multi-target results in terms of SNR (a) RMSE for the range estimation (b) RMSE for the velocity estimation.
See this image and copyright information in PMC

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