Micro-Doppler Extraction and Analysis of the Ballistic Missile Using RDA Based on the Real Flight Scenario

被引:12
作者
Jung, Joo-Ho [1 ]
Kim, Kyung-Tae [1 ]
Kim, Si-Ho [2 ]
Park, Sang-Hong [3 ]
机构
[1] Pohang Univ Sci & Technol, Dept Elect Engn, Pohang, Gyungbuk, South Korea
[2] Agcy Def Dev, Daejeon, South Korea
[3] Pukyong Natl Univ, Dept Elect Engn, Busan, South Korea
来源
PROGRESS IN ELECTROMAGNETICS RESEARCH M | 2014年 / 37卷
关键词
D O I
10.2528/PIERM14040804
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Micro-Doppler (MD) caused by the motion of the ballistic missile can contribute to successful recognition of the ballistic missile. Considering the real observation scenario. This paper proposes a method to derive the MD image of the ballistic missile by applying the range-Doppler algorithm (RDA) based on the real flight scenario and analyzes the factor for the real-time MD imaging. Simulation results using the flight trajectory constructed using the real target parameter demonstrate that we need a new cost function for phase adjustment and a new method for range alignment. In addition, matched-filtering needs to be performed in the baseband, and a sufficient PRF is required to prevent discontinuity of the MD image. Dechirping of MD and filtering of the random movement are also needed for a clear MD image.
引用
收藏
页码:83 / 93
页数:11
相关论文
共 19 条
[1]  
Chen V.C., The Micro-Doppler Effect In Radar, (2011)
[2]  
Chen V.C., Li F., Ho S., Wechsler H., Micro-Doppler effect in radar, IEEE Trans. Aerospace Electron Syst, 42, 1, pp. 2-21, (1996)
[3]  
Gao H., Xie L., Wen S., Kuang Y., Micro-Doppler signature extraction from ballistic target with micro-motions, IEEE Trans. Aerospace Electron Syst, 46, 4, pp. 1969-1982, (2010)
[4]  
Liu L., Du X., Ghogho M., Hu W., McLernon D., Precession missile feature extraction using sparse component analysis of radar measurements, EURASIP J. Adv. Sig. Pr, 2012, 24, pp. 1-10, (2012)
[5]  
Park S.-H., Lee J.-H., Kim K.-T., Performance analysis of the scenario-based construction method for real target ISAR recognition, Progress In Electromagnetics Research, 129, pp. 137-151, (2012)
[6]  
Park J.-H., Myung N.H., Enhanced and efficient ISAR image focusing using the discrete Gabor representation in an oversampling scheme, Progress In Electromagnetics Research, 138, pp. 227-244, (2013)
[7]  
Naqvi A., Ling H., Time-frequency and ISAR characteristics of wind turbines with higher order motions, Progress In Electromagnetics Research, 143, pp. 331-347, (2013)
[8]  
Choi I.-O., Jung J.-H., Kim S.-H., Kim K.-T., Park S.-H., Classification of targets improved by fusion of the range profile and the inverse synthetic aperture radar image, Progress In Electromagnetics Research, 144, pp. 23-31, (2013)
[9]  
Mahafza B., MATLAB Simulations For Radar Systems Design Using MATLAB, (2000)
[10]  
Soumekh M., Synthetic Aperturer Radar Signal Processing With MATLAB Algorithms, (1999)