基于MIMO-ISAR的弹道目标结构参数估计方法

doi:10.3969/j.issn.1001-506X.2020.03.014

Abstract

Abstract:

Traditional single-station inverse synthetic aperture radar (ISAR) imaging usually increases imaging time in order to achieve high azimuth resolution, but this method is not suitable for ballistic targets which have high speed. In order to work around this problem, it is proposed to use multiple input multiple output ISAR (MIMO-ISAR) multi-distribution in space to achieve the effect of time accumulation. After obtaining the multi-channel echo signal, the conical top scattering points of ballistic target are matched by time-frequency images and time distance images. Then, according to the cone top scattering point information, a superior resolution fusion ISAR image is obtained by registration and fusion of multiple ISAR images. Finally, the geometric parameters of the ballistic target are extracted by using the mapping relationship between the projection length of the target and the geometric parameters of the target under different radar line of sight. The simulation results verify the effectiveness of the proposed algorithm.

Key words: ballistic targets, multiple input multiple output inverse synthetic aperture radar (MIMO-ISAR), image registration, structural parameters

CLC Number:

TN957

Lixun HAN, Bo TIAN, Cunqian FENG. Estimating structural parameters of ballistic targets based on MIMO-ISAR[J]. Systems Engineering and Electronics, 2020, 42(3): 603-612.

Figures/Tables 15

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References 32

1	DAVID L R . Ballistic missile defense[J]. Journal of Electronic Defence, 2006, 29 (1): 46- 52.
2	CHEN V C , LI F Y , HO S S , et al. Analysis of micro-Doppler signatures[J]. IEE Proceedings on Radar, Sonar and Navigation, 2003, 150 (4): 271- 276. doi: 10.1049/ip-rsn:20030743
3	VICTORIA S . American missile defense[M]. California: Praeger Security International, 2010: 44- 78.
4	RAJUPUT A , IQBAL M A , GUPTA N K . Ballistic performances of concrete targets subjected to long projectile impact[J]. Thin-Walled Structures, 2018, 126, 171- 181. doi: 10.1016/j.tws.2017.01.021
5	PENG S W , LI S Y , XUE X X , et al. High-resolution W-band ISAR imaging system utilizing a logic-operation-based photonic digital-to-analog converter[J]. Optics Express, 2018, 26 (2): 1978- 1987. doi: 10.1364/OE.26.001978
6	YANG Q, DENG B, WANG H Q, et al. Parameter estimation of the precessing targets with a wideband Terahertz radar[C]//Proc.of the 43rd IEEE International Conference on Infrared, Millimeter, and Terahertz Waves, 2018.
7	XU Z M , AI X F , WU Q H , et al. Micro-Doppler characteristics of streamlined ballistic target[J]. Electronics Letters, 2019, 55 (3): 149- 151. doi: 10.1049/el.2018.7251
8	YANG Q , DENG B , WANG H Q , et al. Translation compensation and micro-Doppler extraction for precession ballistic targets with a wideband terahertz radar[J]. Journal of Electronic Imaging, 2018, 27 (1): 013009.
9	PARK S R , NAM I , NOH S . Modeling and simulation for the investigation of radar responses to electronic attacks in electronic warfare environments[J]. Security and Communication Networks, 2018, 1- 13.
10	金光虎, 高勋章, 黎湘, 等. 基于ISAR像序列的弹道目标进动特征提取[J]. 电子学报, 2010, 28 (6): 1233- 1238.
	JIN G H , GAO X Z , LI X , et al. Precession feature extraction of ballistic targets based on dynamic ISAR image sequence[J]. Acta Electronica Sinica, 2010, 28 (6): 1233- 1238.
11	束长勇, 陈世春, 吴洪骞, 等. 基于ISAR像序列的锥体目标进动及结构参数估计[J]. 电子与信息学报, 2015, 37 (5): 1078- 1084.
	SHU C Y , CHEN S C , WU H Q , et al. Precession and structure parameters estimation of precession cone target based on ISAR image sequence[J]. Journal of Electronics&Information Technology, 2015, 37 (5): 1078- 1084.
12	徐少坤, 刘记红, 袁翔宇, 等. 基于ISAR图像的中段目标二维几何特征反演方法[J]. 电子与信息学报, 2015, 37 (2): 340- 345.
	XU S K , LIU J H , YUAN X Y , et al. Two dimensional geometric feature inversion method for midcourse target based on ISAR Image[J]. Journal of Electronics & Information Technology, 2015, 37 (2): 340- 345.
13	雷腾, 刘进忙, 李松, 等. 基于MP稀疏分解的弹道中段目标微动ISAR成像新方法[J]. 系统工程与电子技术, 2011, 33 (12): 2649- 2654. doi: 10.3969/j.issn.1001-506X.2011.12.15
	LEI T , LIU J M , LI S , et al. A novel ISAR imaging method of ballistic midcourse targets based on MP sparse decomposition[J]. Systems Engineering and Electronics, 2011, 33 (12): 2649- 2654. doi: 10.3969/j.issn.1001-506X.2011.12.15
14	朱宇涛, 郁文贤, 粟毅. 一种基于MIMO技术的ISAR成像方法[J]. 电子学报, 2009, 37 (9): 1885- 1894. doi: 10.3321/j.issn:0372-2112.2009.09.003
	ZHU Y T , YU W X , SU Y . An ISAR imaging method based on MIMO technique[J]. Acta Electronica Sinica, 2009, 37 (9): 1885- 1894. doi: 10.3321/j.issn:0372-2112.2009.09.003
15	PASTINA D, BUCCIARELLI M, PIERFRANCESCO L. Multistatic and MIMO distributed ISAR for enhanced cross-range resolution of rotating targets[J]. IEEE Trans.on Geoscience and Remote Sensing, 2010, 48(8): 3300-3317.
16	董会旭, 张永顺, 冯存前, 等. 基于线阵的MIMO-ISAR二维成像方法[J]. 电子与信息学报, 2015, 37 (2): 309- 314.
	DONG H X , ZHANG Y S , FENG C Q , et al. Two-dimensional imaging using MIMO radar and ISAR technique based on linear array[J]. Journal of Electronics & Information Technology, 2015, 37 (2): 309- 314.
17	WANG Y, LI X L. 3-D Imaging based on combination of the ISAR technique and a MIMO radar system[J]. IEEE Trans.on Geoscience and Remote Sensing, 2018, 56(10): 1-22.
18	MA L , LIU J , WANG T , et al. Micro-doppler characteristics of sliding-type scatting center on rotationally symmetric target[J]. Science China Information Sciences, 2011, 41 (5): 605- 616.
19	ZHANG S H, LIU Y X. Bayesian bistatic ISAR imaging for targets with complex motion under low SNR condition[J]. IEEE Trans.on Image Processing, 2018, 27(5): 2447-2460.
20	SHI L , GUO B F , MA J T , et al. A novel channel calibration method for bistatic ISAR imaging system[J]. Applied Sciences, 2018, 8 (11): 2160. doi: 10.3390/app8112160
21	LI H , ZHAO Y , CHENG Z , et al. Orthogonal frequency division multiplexing linear frequency modulation signal design with optimized pulse compression property of spatial synthesized signals[J]. IET Radar, Sonar and Navigation, 2016, 10, 1319- 1326. doi: 10.1049/iet-rsn.2015.0642
22	HASHEMPOUR H R , MOHMMAD A M S , SHEIKHI A . Cyclic prefix-based OFDM ISAR imaging[J]. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2018, 42 (2): 239- 249. doi: 10.1007/s40998-018-0057-5
23	WANG W Q, SO H C, HUANG L T, et al.Low peak-to-average ratio OFDM chirp waveform diversity design[C]//Proc.of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2014: 8351-8354.
24	KNILL C , ROOS F , SCHWEIZER B , et al. Random multiplexing for an MIMO-OFDM radar with compressed sensing-based reconstruction[J]. IEEE Microwave and Wireless Components Letters, 2019, 29 (4): 300- 302. doi: 10.1109/LMWC.2019.2901405
25	SUN S , LIANG G . ISAR imaging of complex motion targets based on Radon transform cubic chirplet decomposition[J]. Journal of International Journal of Remote Sensing, 2018, 39 (6): 1770- 1781. doi: 10.1080/01431161.2017.1415485
26	ZHU Y T, SU Y, YU W X. An ISAR imaging method based on MIMO technique[J]. IEEE Trans.on Geoscience and Remote Sensing, 2010, 48(8): 3290-3299.
27	邵长宇, 杜兰, 韩勋, 等. 基于双视角距离像序列的空间锥体目标参数估计方法[J]. 电子与信息学报, 2015, 37 (11): 2735- 2741.
	SHAO C Y , DU L , HAN X , et al. Estimation method for space target coning target parameters based on two-aspect range profile sequences[J]. Journal of Electronics&Information Technology, 2015, 37 (11): 2735- 2741.
28	BROWN L G . A survey of image registration techniques[J]. ACM Computing Surveys, 1992, 24 (4): 326- 376.
29	MA J, JIANG J J, ZHOU H B, et al.Guided locality preserving feature matching for remote sensing image registration[J]. IEEE Trans.on Geoscience and Remote Sensing, 2018, 56(8): 4435-4447.
30	CHEN H M, VARSHNEY P K, ARORA M K. Performance of mutual information similarity measure for registration of multitemporal remote sensing images[J]. IEEE Trans.on Geoscience and Remote Sensing, 2003, 41(11): 2445-2454.
31	LIU F Q , BI F K , CHEN L , et al. Feature-area optimization: a novel SAR image registration method[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13 (2): 242- 246. doi: 10.1109/LGRS.2015.2507982
32	谷文堃, 王党卫, 马晓岩. 分布式MIMO-ISAR子图像融合方法[J]. 雷达学报, 2017, 6 (1): 90- 97.
	GU W K , WANG D W , MA X Y . Distributed MIMO-ISAR sub-image fusion method[J]. Journal of Radars, 2017, 6 (1): 90- 97.

参数	数值
子带宽B_s/GHz	3
脉冲宽度T_p/μs	1
频率间隔Δf/GHz	1
合成带宽B/GHz	5
采样频率f_s/GHz	6
观测时间t/s	0.1
母线长度L/m	2.061 55
半锥角φ₀/rad	0.244 9
底面半径r/m	0.5
进动角γ/rad	0.177 5
进动角速度ω_c/(rad/s)	1π

SNR/dB	母线长度估计值${\hat L}$/m	半锥角估计值${\hat \varphi }$₀/rad
8	2.045	0.246 6
6	2.041	0.246 2
4	2.114	0.248 0
2	1.998	0.252 2
0	2.156	0.234 7
-2	2.164	0.231 6
-4	2.203	0.228 9
-6	1.838	0.212 4
-8	2.318	0.210 3

[1]	SHU Shi, FANG Jiancheng, ZHANG Wei, LIU Gang, QIAN Yong, ZHANG Jian, CUI Peiling. Composite compensation method to improve the image registration based on MSCMG [J]. Systems Engineering and Electronics, 2019, 41(12): 2827-2834.
[2]	XU Dan, FU Jixiang, SUN Guangcai, XING Mengdao, SU Tao. Accurate wide band high velocity motion compensation for ballistic targets [J]. Systems Engineering and Electronics, 2019, 41(10): 2205-2213.
[3]	ZENG Lina, ZHOU Deyun, PAN Qian, ZHANG Kun. Optimal Euclidean distance matrix matching method for synthetic aperture radar images [J]. Systems Engineering and Electronics, 2017, 39(5): 1002-1006.
[4]	WANG Yanzhao, SU Juan. SAR image registration algorithm based on speckle reducing SIFT [J]. Systems Engineering and Electronics, 2017, 39(12): 2697-2703.
[5]	XUE Hai-wei, FENG Da-zheng. Analytic offset search method for InSAR image precise registration [J]. Systems Engineering and Electronics, 2016, 38(8): 1787-1793.
[6]	HU Xiao-wei, TONG Ning-ning, HU Guo-ping, WANG Yu-chen. Multi-ballistic targets resolution based on micro-Doppler [J]. Systems Engineering and Electronics, 2015, 37(8): 1734-1740.
[7]	LIU Yong-chun, WANG Guang-xue, LI Ping, YAN Xiao-peng. Fully affine SAR image registration method based on feature points [J]. Systems Engineering and Electronics, 2015, 37(6): 1259-1265.
[8]	LI Zhen-hua, JIANG Geng-hong, XU Sheng-nan, LIU Yun-gang. Image registration algorithm for infrared and visible images#br# based on contour polygon fitting [J]. Systems Engineering and Electronics, 2015, 37(12): 2872-2878.
[9]	WU Yi-quan，TAO Fei-xiang，CAO Zhao-qing. Image registration algorithm based on dual tree complex wavelet transform and SURF [J]. Systems Engineering and Electronics, 2014, 36(5): 997-1003.
[10]	ZHANG Xiu-jie, LI Shi-yong, SHEN Yi, SONG Shen-min. Application of harmony search quantum genetic algorithm in image registration [J]. Journal of Systems Engineering and Electronics, 2012, 34(10): 2152-2156.
[11]	LU Shan, LEI Ying-jie, KONG Wei-wei, LEI Yang. Image registration method based on key point feature and improved Hausdorff distance [J]. Journal of Systems Engineering and Electronics, 2011, 33(7): 1664-1667.
[12]	GAO Feng, WEN Gong-jian, LU Huan-zhang. Multi-feature matching algorithm considering uncertainty of features for image registration [J]. Journal of Systems Engineering and Electronics, 2011, 33(6): 1415-1419.
[13]	FENG Wei, HU Bo. Novel color image registration algorithm using quaternion phase-only correlation [J]. Journal of Systems Engineering and Electronics, 2010, 32(1): 183-187.

Estimating structural parameters of ballistic targets based on MIMO-ISAR

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