Doppler Rate Estimation for Passive Synthetic Aperture Localization Based on Discrete Fractional Fourier Transform

Doppler rate estimation is a critical issue in passive synthetic aperture (PSA) radiation source localization. However, existing Doppler rate estimation algorithms are significantly affected by the residual frequency offset (RFO) between the receiver and emitter. To address this problem, a Doppler rate estimation algorithm for PSA using the discrete fractional Fourier transform (DFRFT) is presented in this paper. The presented algorithm employs a two-step approach, utilizing coarse-to-fine search in the fractional domain, to achieve accurate Doppler rate estimation while also reducing computational complexity. Simulation results show that the proposed algorithm exhibits superior estimation accuracy, and its performance is not affected by the RFO.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868913
Primary Topic
Advanced SAR Imaging Techniques
Type
article
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article

Doppler Rate Estimation for Passive Synthetic Aperture Localization Based on Discrete Fractional Fourier Transform

Ran Tao, Hao Huan, Lanxiang Xing
Advanced SAR Imaging Techniques
article

Doppler Rate Estimation for Passive Synthetic Aperture Localization Based on Discrete Fractional Fourier Transform

Ran Tao, Hao Huan, Lanxiang Xing
article en

Abstract

Doppler rate estimation is a critical issue in passive synthetic aperture (PSA) radiation source localization. However, existing Doppler rate estimation algorithms are significantly affected by the residual frequency offset (RFO) between the receiver and emitter. To address this problem, a Doppler rate estimation algorithm for PSA using the discrete fractional Fourier transform (DFRFT) is presented in this paper. The presented algorithm employs a two-step approach, utilizing coarse-to-fine search in the fractional domain, to achieve accurate Doppler rate estimation while also reducing computational complexity. Simulation results show that the proposed algorithm exhibits superior estimation accuracy, and its performance is not affected by the RFO.

Beijing Institute of Technology (CN)
Openalex Percentile: Top 55%
Advanced SAR Imaging Techniques
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