Version 1
: Received: 25 December 2023 / Approved: 26 December 2023 / Online: 26 December 2023 (07:47:35 CET)
How to cite:
Peng, B.; Chen, Q.; Zhang, Q.; Zhao, J.; Wang, C.; Zhang, R. A Novel Velocity Estimation and Compensation Approach for Moving Target in Stepped Frequency Radar Based on Fractional Fourier Transform. Preprints2023, 2023121897. https://doi.org/10.20944/preprints202312.1897.v1
Peng, B.; Chen, Q.; Zhang, Q.; Zhao, J.; Wang, C.; Zhang, R. A Novel Velocity Estimation and Compensation Approach for Moving Target in Stepped Frequency Radar Based on Fractional Fourier Transform. Preprints 2023, 2023121897. https://doi.org/10.20944/preprints202312.1897.v1
Peng, B.; Chen, Q.; Zhang, Q.; Zhao, J.; Wang, C.; Zhang, R. A Novel Velocity Estimation and Compensation Approach for Moving Target in Stepped Frequency Radar Based on Fractional Fourier Transform. Preprints2023, 2023121897. https://doi.org/10.20944/preprints202312.1897.v1
APA Style
Peng, B., Chen, Q., Zhang, Q., Zhao, J., Wang, C., & Zhang, R. (2023). A Novel Velocity Estimation and Compensation Approach for Moving Target in Stepped Frequency Radar Based on Fractional Fourier Transform. Preprints. https://doi.org/10.20944/preprints202312.1897.v1
Chicago/Turabian Style
Peng, B., Chao Wang and Ruiheng Zhang. 2023 "A Novel Velocity Estimation and Compensation Approach for Moving Target in Stepped Frequency Radar Based on Fractional Fourier Transform" Preprints. https://doi.org/10.20944/preprints202312.1897.v1
Abstract
The Stepped Frequency Waveform (SFW) is commonly employed in radar technology to synthesize wideband signals through the aggregation of narrow-band pulses, thereby achieving high-resolution range profiles without the need to increase the radar's instantaneous bandwidth. However, the inherent large time-bandwidth product of SFW introduces substantial ranging errors and energy dispersion, which significantly hinders its efficacy in detecting high-speed objects. This paper introduces a pioneering velocity estimation technique utilizing the fractional Fourier transform (FrFT) to address these limitations. Leveraging the characteristic of the Doppler signal from a moving target, which manifests as a chirp signal with a rate proportional to the target's velocity, the FrFT is utilized for precise velocity estimation. Subsequent to this, velocity compensation is applied using the deduced metrics, followed by the application of the inverse fast Fourier transform (iFFT) to pinpoint the target's exact location. To optimize the computational efficiency of determining the FrFT's optimal order, we propose an iterative algorithm founded on the golden section search method. The effectiveness of the proposed approach is verified by simulation data, and the results demonstrate that the proposed approach can accurately estimate the velocity and the range of the high-speed targets with a relatively low computational complexity.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
