An approach for refocusing of ground fast-moving target and high-order motion parameter estimation using Radon-high-order time-chirp rate transform

被引:25
作者
Huang, Penghui [1 ]
Liao, Guisheng [1 ]
Yang, Zhiwei [1 ]
Ma, Jingtao [1 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Synthetic aperture radar (SAR); Ground moving target imaging (GMTIm); Motion parameter estimation; Third-order Doppler broadening; High-order time-chirp rate transform (HTRT); FRACTIONAL FOURIER-TRANSFORM; ESTIMATION ALGORITHM; AMBIGUITY FUNCTION; RADAR DETECTION; SAR IMAGERY; ANTENNA; SIGNALS; TRACK;
D O I
10.1016/j.dsp.2015.10.004
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
Long synthetic aperture time can improve the imaging quality of a ground moving target, whereas a moving target may be severely smeared in the cross-range image due to the range migration and the Doppler frequency migration. In this paper, the effects of the third-order Doppler broadening and Doppler ambiguity of a fast-moving target are considered. To address these issues, a novel motion parameter estimation method named high-order time-chirp rate transform (HTRT) is proposed, and then a new synthetic aperture radar (SAR) imaging method based on Radon-HTRT (RHTRT) for a ground moving target is developed. The major contributions are as follows: 1) The proposed SAR imaging method can eliminate the Doppler ambiguity effect. 2) The proposed method can realize longer time coherent integration than Radon-Fourier transform (RFT) and Radon-fractional Fourier transform (RFRFT) methods. 3) The proposed method is computationally efficient since HTRT can obtain the motion parameters of a moving target via performing the 2-dimensional (2-D) fast Fourier transform (FFT). Both the simulated and real data processing results show that the proposed method can finely image a ground moving target in a high signal-to-clutter and noise ratio (SCNR) environment. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:333 / 348
页数:16
相关论文
共 46 条
[1]  
[Anonymous], IEEE T GEOSCI REMOTE
[2]   Efficient Motion Compensation of a Moving Object on SAR Imagery Based on Velocity Correlation Function [J].
Arii, Motofumi .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (02) :936-946
[3]   Product high-order ambiguity function for multicomponent polynomial-phase signal modeling [J].
Barbarossa, S ;
Scaglione, A ;
Giannakis, GB .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (03) :691-708
[4]   DETECTION AND IMAGING OF MOVING-OBJECTS WITH SYNTHETIC APERTURE RADAR .2. JOINT TIME FREQUENCY-ANALYSIS BY WIGNER-VILLE DISTRIBUTION [J].
BARBAROSSA, S ;
FARINA, A .
IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1992, 139 (01) :89-97
[5]   GLRT Detection of Moving Targets via Multibaseline Along-Track Interferometric SAR Systems [J].
Budillon, A. ;
Evangelista, A. ;
Schirinzi, G. .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2012, 9 (03) :348-352
[6]   SEARCH RADAR DETECTION AND TRACK WITH THE HOUGH TRANSFORM .1. SYSTEM CONCEPT [J].
CARLSON, BD ;
EVANS, ED ;
WILSON, SL .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1994, 30 (01) :102-108
[7]  
Chang YN, 2000, 2000 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS I-III, PROCEEDINGS, P1155, DOI 10.1109/ICPST.2000.898132
[8]   Maneuvering Target Detection via Radon-Fractional Fourier Transform-Based Long-Time Coherent Integration [J].
Chen, Xiaolong ;
Guan, Jian ;
Liu, Ningbo ;
He, You .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2014, 62 (04) :939-953
[9]   Detection of a Low Observable Sea-Surface Target With Micromotion via the Radon-Linear Canonical Transform [J].
Chen, Xiaolong ;
Guan, Jian ;
Liu, Ningbo ;
Zhou, Wei ;
He, You .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 11 (07) :1225-1229
[10]   A Fast FRFT Based Detection Algorithm of Multiple Moving Targets in Sea Clutter [J].
Chen, Xiaolong ;
Guan, Jian .
2010 IEEE RADAR CONFERENCE, 2010, :402-406