Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network
Space target identification is key to missile defense. Micromotion, as an inherent attribute of the target, can be used as the theoretical basis for target recognition. Meanwhile, time-varying micro-Doppler (m-D) frequency shifts induce frequency modulations on the target echo, which can be referred...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2020/8013802 |
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| _version_ | 1832547813629624320 |
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| author | Lixun Han Cunqian Feng |
| author_facet | Lixun Han Cunqian Feng |
| author_sort | Lixun Han |
| collection | DOAJ |
| description | Space target identification is key to missile defense. Micromotion, as an inherent attribute of the target, can be used as the theoretical basis for target recognition. Meanwhile, time-varying micro-Doppler (m-D) frequency shifts induce frequency modulations on the target echo, which can be referred to as the m-D effect. m-D features are widely used in space target recognition as it can reflect the physical attributes of the space targets. However, the traditional recognition method requires human participation, which often leads to misjudgment. In this paper, an intelligent recognition method for space target micromotion is proposed. First, accurate and suitable models of warhead and decoy are derived, and then the m-D formulae are offered. Moreover, we present a deep-learning (DL) model composed of a one-dimensional parallel structure and long short-term memory (LSTM). Then, we utilize this DL model to recognize time-frequency distribution (TFD) of different targets. Finally, simulations are performed to validate the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-dde7cce05f0a4da3b1993eb43b97eb9e |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-dde7cce05f0a4da3b1993eb43b97eb9e2025-02-03T06:43:30ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772020-01-01202010.1155/2020/80138028013802Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel NetworkLixun Han0Cunqian Feng1Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, ChinaAir and Missile Defense College, Air Force Engineering University, Xi’an 710051, ChinaSpace target identification is key to missile defense. Micromotion, as an inherent attribute of the target, can be used as the theoretical basis for target recognition. Meanwhile, time-varying micro-Doppler (m-D) frequency shifts induce frequency modulations on the target echo, which can be referred to as the m-D effect. m-D features are widely used in space target recognition as it can reflect the physical attributes of the space targets. However, the traditional recognition method requires human participation, which often leads to misjudgment. In this paper, an intelligent recognition method for space target micromotion is proposed. First, accurate and suitable models of warhead and decoy are derived, and then the m-D formulae are offered. Moreover, we present a deep-learning (DL) model composed of a one-dimensional parallel structure and long short-term memory (LSTM). Then, we utilize this DL model to recognize time-frequency distribution (TFD) of different targets. Finally, simulations are performed to validate the effectiveness of the proposed method.http://dx.doi.org/10.1155/2020/8013802 |
| spellingShingle | Lixun Han Cunqian Feng Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network International Journal of Antennas and Propagation |
| title | Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network |
| title_full | Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network |
| title_fullStr | Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network |
| title_full_unstemmed | Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network |
| title_short | Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network |
| title_sort | micro doppler based space target recognition with a one dimensional parallel network |
| url | http://dx.doi.org/10.1155/2020/8013802 |
| work_keys_str_mv | AT lixunhan microdopplerbasedspacetargetrecognitionwithaonedimensionalparallelnetwork AT cunqianfeng microdopplerbasedspacetargetrecognitionwithaonedimensionalparallelnetwork |