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.
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
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Wentao LV, Jiliang LIU, Xiaomin BAO, Xiaocheng YANG, Long WU, "Compressed Sensing for Range-Resolved Signal of Ballistic Target with Low Computational Complexity" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 6, pp. 1238-1242, June 2016, doi: 10.1587/transfun.E99.A.1238.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1238/_p
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@ARTICLE{e99-a_6_1238,
author={Wentao LV, Jiliang LIU, Xiaomin BAO, Xiaocheng YANG, Long WU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Compressed Sensing for Range-Resolved Signal of Ballistic Target with Low Computational Complexity},
year={2016},
volume={E99-A},
number={6},
pages={1238-1242},
abstract={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.},
keywords={},
doi={10.1587/transfun.E99.A.1238},
ISSN={1745-1337},
month={June},}
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TY - JOUR
TI - Compressed Sensing for Range-Resolved Signal of Ballistic Target with Low Computational Complexity
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1238
EP - 1242
AU - Wentao LV
AU - Jiliang LIU
AU - Xiaomin BAO
AU - Xiaocheng YANG
AU - Long WU
PY - 2016
DO - 10.1587/transfun.E99.A.1238
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2016
AB - 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.
ER -