Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics

Duo Chen; Yanyang Liu; Yifei Fan; Yanyun Gong; Jia Su; Xiangyang Liu

doi:10.1109/ICEICT55736.2022.9909245

Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics

Duo Chen, Yanyang Liu, Yifei Fan, Yanyun Gong, Jia Su, Xiangyang Liu

School of Electronics and Information

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

To conquer the disadvantages of conventional target detection based on a statistical distribution, this paper focuses on the combined time-frequency characteristics of sea clutter and its application in the field of target detection. Due to the complex characteristics of sea clutter, it is difficult to detect targets based on a single feature parameter. Therefore, this paper focused on the combined time-frequency characteristics of sea clutter, where the normalized energy feature of third-order Intrinsic Mode Function (IMF3) and Tsallis Entropy (TE) of spectrum are regarded as two-dimensional characteristics for target detector. Then, the combined time-frequency characteristics of clutter and target are analyzed in detail, and Support Vector Machines (SVM) is taken to train the two-dimensional feature parameters. Finally, through research of X-band real sea clutter datasets, the proposed method improves the target detection accuracy compared with the conventional CFAR method.

Original language	English
Title of host publication	2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	586-589
Number of pages	4
ISBN (Electronic)	9781665472111
DOIs	https://doi.org/10.1109/ICEICT55736.2022.9909245
State	Published - 2022
Event	5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022 - Hefei, China Duration: 21 Aug 2022 → 23 Aug 2022

Publication series

Name	2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022

Conference

Conference	5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022
Country/Territory	China
City	Hefei
Period	21/08/22 → 23/08/22

Keywords

IMF
Sea clutter
Target detection

Access to Document

10.1109/ICEICT55736.2022.9909245

Cite this

Chen, D., Liu, Y., Fan, Y., Gong, Y., Su, J., & Liu, X. (2022). Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics. In 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022 (pp. 586-589). (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEICT55736.2022.9909245

Chen, Duo ; Liu, Yanyang ; Fan, Yifei et al. / Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics. 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 586-589 (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022).

@inproceedings{dd1b66c3f80e4c698c3e658acd539de0,

title = "Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics",

abstract = "To conquer the disadvantages of conventional target detection based on a statistical distribution, this paper focuses on the combined time-frequency characteristics of sea clutter and its application in the field of target detection. Due to the complex characteristics of sea clutter, it is difficult to detect targets based on a single feature parameter. Therefore, this paper focused on the combined time-frequency characteristics of sea clutter, where the normalized energy feature of third-order Intrinsic Mode Function (IMF3) and Tsallis Entropy (TE) of spectrum are regarded as two-dimensional characteristics for target detector. Then, the combined time-frequency characteristics of clutter and target are analyzed in detail, and Support Vector Machines (SVM) is taken to train the two-dimensional feature parameters. Finally, through research of X-band real sea clutter datasets, the proposed method improves the target detection accuracy compared with the conventional CFAR method.",

keywords = "IMF, Sea clutter, Target detection",

author = "Duo Chen and Yanyang Liu and Yifei Fan and Yanyun Gong and Jia Su and Xiangyang Liu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022 ; Conference date: 21-08-2022 Through 23-08-2022",

year = "2022",

doi = "10.1109/ICEICT55736.2022.9909245",

language = "英语",

series = "2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "586--589",

booktitle = "2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022",

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Chen, D, Liu, Y, Fan, Y , Gong, Y , Su, J & Liu, X 2022, Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics. in 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022, Institute of Electrical and Electronics Engineers Inc., pp. 586-589, 5th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2022, Hefei, China, 21/08/22. https://doi.org/10.1109/ICEICT55736.2022.9909245

Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics. / Chen, Duo; Liu, Yanyang; Fan, Yifei et al.
2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 586-589 (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics

AU - Chen, Duo

AU - Liu, Yanyang

AU - Fan, Yifei

AU - Gong, Yanyun

AU - Su, Jia

AU - Liu, Xiangyang

PY - 2022

Y1 - 2022

N2 - To conquer the disadvantages of conventional target detection based on a statistical distribution, this paper focuses on the combined time-frequency characteristics of sea clutter and its application in the field of target detection. Due to the complex characteristics of sea clutter, it is difficult to detect targets based on a single feature parameter. Therefore, this paper focused on the combined time-frequency characteristics of sea clutter, where the normalized energy feature of third-order Intrinsic Mode Function (IMF3) and Tsallis Entropy (TE) of spectrum are regarded as two-dimensional characteristics for target detector. Then, the combined time-frequency characteristics of clutter and target are analyzed in detail, and Support Vector Machines (SVM) is taken to train the two-dimensional feature parameters. Finally, through research of X-band real sea clutter datasets, the proposed method improves the target detection accuracy compared with the conventional CFAR method.

AB - To conquer the disadvantages of conventional target detection based on a statistical distribution, this paper focuses on the combined time-frequency characteristics of sea clutter and its application in the field of target detection. Due to the complex characteristics of sea clutter, it is difficult to detect targets based on a single feature parameter. Therefore, this paper focused on the combined time-frequency characteristics of sea clutter, where the normalized energy feature of third-order Intrinsic Mode Function (IMF3) and Tsallis Entropy (TE) of spectrum are regarded as two-dimensional characteristics for target detector. Then, the combined time-frequency characteristics of clutter and target are analyzed in detail, and Support Vector Machines (SVM) is taken to train the two-dimensional feature parameters. Finally, through research of X-band real sea clutter datasets, the proposed method improves the target detection accuracy compared with the conventional CFAR method.

KW - IMF

KW - Sea clutter

KW - Target detection

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BT - 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 21 August 2022 through 23 August 2022

ER -

Chen D, Liu Y, Fan Y , Gong Y , Su J, Liu X. Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics. In 2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 586-589. (2022 IEEE 5th International Conference on Electronic Information and Communication Technology, ICEICT 2022). doi: 10.1109/ICEICT55736.2022.9909245

Target Detection Within Sea Clutter Based on Combined Time-Frequency Characteristics

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