Volume 10 Issue 6
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Article Navigation >  Journal of Radars  > 2021  >  10(6): 811-821
CHEN Hui, TIAN Xiang, LI Zihao, et al. Reduced-dimension target parameter estimation for conformal FDA-MIMO radar[J]. Journal of Radars, 2021, 10(6): 811–821. DOI: 10.12000/JR21197
Citation: CHEN Hui, TIAN Xiang, LI Zihao, et al. Reduced-dimension target parameter estimation for conformal FDA-MIMO radar[J]. Journal of Radars, 2021, 10(6): 811–821. DOI: 10.12000/JR21197
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Reduced-dimension Target Parameter Estimation For Conformal FDA-MIMO Radar

DOI: 10.12000/JR21197

  • School of Information and Communication Engineering, University of Electronic Science andTechnology of China, Chengdu 611731, China

Funds:  The National Natural Science Foundation of China (61571081), Sichuan Science and Technology Program (18ZDYF2551), Fundamental Research Funds for the Central Universities (ZYGX2018J005)
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  • Author Bio:

    CHEN Hui received the Ph.D. degree in the department of electronic engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2013. Since January 2014, she has been with the School of Information Engineering and Communication, UESTC, where she is currently an Associate Professor. From November 2011 to May 2013, she was a visiting scholar at Columbia University, NY, USA. Her research interests include array signal processing, wireless communication and artificial intelligence

    TIAN Xiang was born in Sichuan, China in 1998. She received the Bachelor Degree in 2020 from Chengdu University of Information Technology. She is pursuing the Master Degree in University of Electronic Science and Technology of China. Her major interests are conformal array and frequency inverse array

    LI Zihao was born in Sichuan, China in 1996. He received the Master Degree in 2021 from University of Electronic Science and Technology of China. His major interests are conformal array and frequency diverse array radar

    JIANG Xinrui was born in Shanxi, China in 1996. She received the Master Degree in 2021 from University of Electronic Science and Technology of China. She specializes in signal recognition, coding recognition and signal processing

  • Corresponding author: CHEN Hui, huichen0929@uestc.edu.cn
  • Received Date: 2021-12-05
  • Accepted Date: 2021-12-20
  • Rev Recd Date: 2021-12-17
    • Available Online: 2021-12-22
  • Publish Date: 2021-12-28
    Abstract

  • Frequency Diverse Array (FDA) Multiple-Input Multiple-Output (MIMO) radar equipped with a FDA can possess beam patterns that are dependent on range, angle, and time, and it can increase the degree of freedom. This paper introduces a conformal array attached to the surface of the carrier, the array can reduce the aerodynamic impact on the carrier and reduce the cross section of the FDA-MIMO radar. First, the conformal FDA-MIMO measurement model is formulated, and a Cramér-Rao Lower Bound (CRLB) is derived to evaluate the parameter estimation performance. To avoid the three-dimensional search of the traditional three-dimensional MUltiple SIgnal Classification (3D-MUSIC) algorithm, a Reduced-Dimension MUltiple SIgnal Classification (RD-MUSIC) algorithm is proposed for parameter estimation. The simulation results demonstrate that the proposed algorithm has a slightly lower estimation accuracy than the 3D-MUSIC algorithm but a much lower computational complexity. In addition, the proposed algorithm has better range estimation performance for multiple targets than the 3D-MUSIC algorithm.

     

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