Radar Target Recognition of Ballistic Missile in Complex Scene

Wenbo Tang; Lei Yu; Yinsheng Wei; Peng Tong

doi:10.1109/ICSIDP47821.2019.9172943

Radar Target Recognition of Ballistic Missile in Complex Scene

Wenbo Tang
, Lei Yu
, Yinsheng Wei
, Peng Tong

School of Electronics and Information Engineering

Harbin Institute of Technology
Nanjing Inst. of Electron. Technol.

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

26 Scopus citations

Abstract

In modern warfare, the defense of ballistic missile is an important task of air defense warning, and radar-based target recognition is the core of defense. In this paper, the recognition of ballistic missile based on target dynamic RCS sequence is studied, and the dynamic RCS sequences of seven true and false targets are simulated. The simulation process takes the motion trajectory and micro-motion characteristics into account. Then, we extracts ten statistical features of the sequence. The SVM algorithm and BP neural network algorithm in machine learning field are used to identify the targets. The simulation result shows that the BP neural network algorithm has higher recognition rate than the SVM algorithm.

Original language	English
Title of host publication	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728123455
DOIs	https://doi.org/10.1109/ICSIDP47821.2019.9172943
State	Published - Dec 2019
Event	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China Duration: 11 Dec 2019 → 13 Dec 2019

Publication series

Name	ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

Conference

Conference	2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/Territory	China
City	Chongqing
Period	11/12/19 → 13/12/19

Keywords

BP neural network algorithm
SVM algorithm
ballistic missile
dynamic RCS sequence

Access to Document

10.1109/ICSIDP47821.2019.9172943

Cite this

Tang, W., Yu, L., Wei, Y., & Tong, P. (2019). Radar Target Recognition of Ballistic Missile in Complex Scene. In ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019 Article 9172943 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSIDP47821.2019.9172943

@inproceedings{da0caeceec0c4c5b82afc755873ff017,

title = "Radar Target Recognition of Ballistic Missile in Complex Scene",

abstract = "In modern warfare, the defense of ballistic missile is an important task of air defense warning, and radar-based target recognition is the core of defense. In this paper, the recognition of ballistic missile based on target dynamic RCS sequence is studied, and the dynamic RCS sequences of seven true and false targets are simulated. The simulation process takes the motion trajectory and micro-motion characteristics into account. Then, we extracts ten statistical features of the sequence. The SVM algorithm and BP neural network algorithm in machine learning field are used to identify the targets. The simulation result shows that the BP neural network algorithm has higher recognition rate than the SVM algorithm.",

keywords = "BP neural network algorithm, SVM algorithm, ballistic missile, dynamic RCS sequence",

author = "Wenbo Tang and Lei Yu and Yinsheng Wei and Peng Tong",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/ICSIDP47821.2019.9172943",

language = "英语",

series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

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

booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",

address = "美国",

}

Tang, W, Yu, L , Wei, Y & Tong, P 2019, Radar Target Recognition of Ballistic Missile in Complex Scene. in ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019., 9172943, ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019, Chongqing, China, 11/12/19. https://doi.org/10.1109/ICSIDP47821.2019.9172943

Radar Target Recognition of Ballistic Missile in Complex Scene. / Tang, Wenbo; Yu, Lei ; Wei, Yinsheng et al.
ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 9172943 (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019).

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

TY - GEN

T1 - Radar Target Recognition of Ballistic Missile in Complex Scene

AU - Tang, Wenbo

AU - Yu, Lei

AU - Wei, Yinsheng

AU - Tong, Peng

PY - 2019/12

Y1 - 2019/12

N2 - In modern warfare, the defense of ballistic missile is an important task of air defense warning, and radar-based target recognition is the core of defense. In this paper, the recognition of ballistic missile based on target dynamic RCS sequence is studied, and the dynamic RCS sequences of seven true and false targets are simulated. The simulation process takes the motion trajectory and micro-motion characteristics into account. Then, we extracts ten statistical features of the sequence. The SVM algorithm and BP neural network algorithm in machine learning field are used to identify the targets. The simulation result shows that the BP neural network algorithm has higher recognition rate than the SVM algorithm.

AB - In modern warfare, the defense of ballistic missile is an important task of air defense warning, and radar-based target recognition is the core of defense. In this paper, the recognition of ballistic missile based on target dynamic RCS sequence is studied, and the dynamic RCS sequences of seven true and false targets are simulated. The simulation process takes the motion trajectory and micro-motion characteristics into account. Then, we extracts ten statistical features of the sequence. The SVM algorithm and BP neural network algorithm in machine learning field are used to identify the targets. The simulation result shows that the BP neural network algorithm has higher recognition rate than the SVM algorithm.

KW - BP neural network algorithm

KW - SVM algorithm

KW - ballistic missile

KW - dynamic RCS sequence

UR - https://www.scopus.com/pages/publications/85091899417

U2 - 10.1109/ICSIDP47821.2019.9172943

DO - 10.1109/ICSIDP47821.2019.9172943

M3 - 会议稿件

AN - SCOPUS:85091899417

T3 - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

BT - ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019

Y2 - 11 December 2019 through 13 December 2019

ER -

Tang W, Yu L , Wei Y , Tong P. Radar Target Recognition of Ballistic Missile in Complex Scene. In ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 9172943. (ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019). doi: 10.1109/ICSIDP47821.2019.9172943

Radar Target Recognition of Ballistic Missile in Complex Scene

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