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Motion Target Imaging by Non-Linear Stepped-Frequency Chirp Pulse Train

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Abstract

Traditional stepped-frequency chirp pulse train methods suffer from high sidelobes and difficulty in compensating for the Doppler effect caused by target motion. This paper investigates a class of non-linear stepped-frequency chirp pulse train which has low sidelobes and the capability to cancel clutter and to compensate for target motion. A new Doppler matched filter has been developed for estimation of the target’s radial velocity, which avoids the multiple bursts required by other methods. The high signal-to-noise ratio resulting from the application of sub-pulse compression improves the accuracy of estimation. The Cramer–Rao bound for the lower limit on the velocity estimation is derived to demonstrate the performance of the proposed method.

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Acknowledgments

The author would like to thank the anonymous reviewers and editors for their helpful comments and suggestions.

This work is supported by the foundation of Equipment in Advance No. 9140A07050806DZ0229.

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Authors and Affiliations

  1. Electronic Engineering College, University of Electronic Science and Technology of China, Chengdu, 610054, China

    Yingrui Hu, Xuegang Wang & Zhuming Chen

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  1. Yingrui Hu
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  2. Xuegang Wang
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  3. Zhuming Chen
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Correspondence to Yingrui Hu.

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Hu, Y., Wang, X. & Chen, Z. Motion Target Imaging by Non-Linear Stepped-Frequency Chirp Pulse Train. Sens Imaging 10, 41–53 (2009). https://doi.org/10.1007/s11220-009-0045-y

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  • DOI: https://doi.org/10.1007/s11220-009-0045-y

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