Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (5): 928-938.doi: 10.23919/JSEE.2020.000070

• Defence Electronics Technology • Previous Articles     Next Articles

ISAR cross-range scaling based on the MUSIC technique

Qiuchen LIU(), Yong WANG*(), Qingxiang ZHANG()   

  • Received:2020-03-06 Online:2020-10-30 Published:2020-10-30
  • Contact: Yong WANG E-mail:liuqiuchen1014@163.com;wangyong6012@hit.edu.cn;zhangqx@hit.edu.cn
  • About author:LIU Qiuchen was born in 1992. She received her B.S. degree in electronic information engineering and M.S. degree in information and communication engineering from Harbin Institute of Techno-logy, China, in 2015 and 2017, respectively, where she is currently pursuing her Ph.D. degree. Her current main research interests include inverse synthetic aperture radar imaging and radar signal pro-cessing.E-mail: liuqiuchen1014@163.com|WANG Yong was born in 1979. He received his B.S. and M.S. degrees from Harbin Institute of Technology (HIT), Harbin, China, in 2002 and 2004, respectively, both in electronic engineering. He received his Ph.D. degree in information and communication engineering from HIT in 2008. He is currently a professor with the Institute of Electronic Engineering Technology in HIT. His main research interests are time frequency analysis of nonstationary signal, radar signal processing, and their application in synthetic aperture radar imaging.E-mail: wangyong6012@hit.edu.cn|ZHANG Qingxiang was born in 1962. He received his B.S. and M.S. degrees from Harbin Institute of Technology (HIT), Harbin, China, in 1984 and 1992, respectively, both in electronic engineering. He is currently a professor with the Institute of Electronic Engineering Technology in HIT. His main research interests are radar system design and digital signal processing.E-mail: zhangqx@hit.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(61871146);the National Natural Science Foundation of China(61622107);the China Scholarship Council(201906120113);This work was supported by the National Natural Science Foundation of China (61871146; 61622107), and the China Scholarship Council (201906120113)

Abstract:

Cross-range scaling plays an important role in the inverse synthetic aperture radar (ISAR) imaging. Many of the published cross-range scaling algorithms are based on the fast Fourier transformation (FFT). However, the FFT technique is resolution limited, so that the FFT-based algorithms will fail in the rotation velocity (RV) estimation of the slow rotation target. In this paper, we propose an accurate cross-range scaling algorithm based on the multiple signal classification (MUSIC) method. We first select some range bins with the mono-component linear frequency mo-dulated (LFM) signal model. Then, we dechirp the signal of each selected range bin into the form of sinusoidal signal, and utilize the super-resolution MUSIC technique to accurately estimate the frequency. After processing all the range bins, a linear relationship related to the RV can be obtained. Eventually, the ISAR image can be scaled. The proposal can precisely estimate the small RV of the slow rotation target with low computational complexity. Furthermore, the proposal can also be used in the case of cross-range scaling for the sparse aperture data. Experimental results with the simulated and raw data validate the superiority of the novel method.

Key words: inverse synthetic aperture radar (ISAR) imaging, cross-range scaling, multiple signal classification (MUSIC) method, slow rotation target, sparse aperture