Compressed Sensing for Range-Resolved Signal of Ballistic Target with Low Computational Complexity

Wentao LV, Jiliang LIU, Xiaomin BAO, Xiaocheng YANG, Long WU

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Summary :

The classification of warheads and decoys is a core technology in the defense of the ballistic missile. Usually, a high range resolution is favorable for the development of the classification algorithm, which requires a high sampling rate in fast time, and thus leads to a heavy computation burden for data processing. In this paper, a novel method based on compressed sensing (CS) is presented to improve the range resolution of the target with low computational complexity. First, a tool for electromagnetic calculation, such as CST Microwave Studio, is used to simulate the frequency response of the electromagnetic scattering of the target. Second, the range-resolved signal of the target is acquired by further processing. Third, a greedy algorithm is applied to this signal. By the iterative search of the maximum value from the signal rather than the calculation of the inner product for raw echo, the scattering coefficients of the target can be reconstructed efficiently. A series of experimental results demonstrates the effectiveness of our method.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E99-A No.6 pp.1238-1242
Publication Date
2016/06/01
Publicized
Online ISSN
1745-1337
DOI
10.1587/transfun.E99.A.1238
Type of Manuscript
LETTER
Category
Digital Signal Processing

Authors

Wentao LV
  Zhejiang Sci-Tech University
Jiliang LIU
  Shanghai Jiao Tong University
Xiaomin BAO
  Zhejiang Sci-Tech University
Xiaocheng YANG
  Zhejiang Sci-Tech University
Long WU
  Zhejiang Sci-Tech University

Keyword

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