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Time-Weighting Symmetric Accumulated Cross-Correlation Method of Parameter Estimation

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Journal of Communications and Information Networks

Abstract

Motion compensation based on the parameter estimation of a moving target has a strong influence on the inverse synthetic aperture radar (ISAR) imaging quality. For the target with built-in disturbance components or under an extremely low signal-to-noise ratio (SNR), conventional parameter estimation methods based on cross-correlation processing of adjacent profiles, such as the cross-correlation method and the accumulated cross-correlation method, give sizable aligned errors and subsequently produce low-quality ISAR images. The fractional Fourier transform is capable of concentrating the signal power; however, a large computational complexity is induced by searching the matched order. In view of the problems above, a time-weighting symmetric accumulated cross-correlation method is proposed herein. This method maps the spectrum of the range profile into a single-peak envelope to reduce range alignment errors, and presents a symmetric accumulated manner to offset the accumulated error. The simulation results demonstrate that the proposed method yields much better estimation precision than other methods, and yields extremely low computational complexity.

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Authors and Affiliations

  1. Department of Electronics and Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, 518055, China

    Jiayin Xue, Xiao Han, Lirong An & Qinyu Zhang

Authors
  1. Jiayin Xue
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  2. Xiao Han
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  3. Lirong An
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  4. Qinyu Zhang
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Corresponding author

Correspondence to Qinyu Zhang.

Additional information

This work is supported in part by the National Science Foundation for the Distinguished Young Scholars of China (No. 61525103), and the Shenzhen Fundamental Research Project (No. JCYJ20150930150304185).

Jiayin Xue received her B.E. and M.E. degrees from Harbin Institute of Technology, China, in 2007 and 2012 respectively. She is now a Ph.D. candidate of electronic and information engineering in Harbin Institute of Technology Shenzhen Graduate School. Her research interests include ISAR image processing and array signal processing. (Email: xuejiayin@ stu.hit.edu.cn)

Xiao Han received his M.E. degree from Harbin Institute of Technology Shenzhen Graduate School, China, in 2014. He is now a Ph.D. candidate of electronic and information engineering in Harbin Institute of Technology Shenzhen Graduate School. His research interests include wireless signal processing and UAV intelligent control. (Email: hanxiao5562@stu.hit.edu.cn)

Lirong An received her M.E. degree from Harbin Institute of Technology Shenzhen Graduate School, China, in 2012. She is now an assistant experimentalist of the Key Laboratory of Network Oriented Intelligent Computation in Harbin Institute of Technology Shenzhen Graduate School. Her research interests include EtherCAT protocol, and communication signal processing.

Qinyu Zhang [corresponding author] received his B.E. degree from Harbin Institute of Technology in 1994, and the Ph.D. degree from the University of Tokushima, Japan, in 2003. He has been a full professor since 2005 at HIT Shenzhen Graduate School, and was awarded the National Science Fund for the Distinguished Young Scholars in 2015. His research interests include aerospace communications and networks, wireless communications and networks, cognitive radios, signal processing and biomedical engineering. (Email: zqy@hit.edu.cn)

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Xue, J., Han, X., An, L. et al. Time-Weighting Symmetric Accumulated Cross-Correlation Method of Parameter Estimation. J. Commun. Inf. Netw. 3, 53–60 (2018). https://doi.org/10.1007/s41650-018-0007-4

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  • DOI: https://doi.org/10.1007/s41650-018-0007-4

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