ISAR Imaging of Ship Target with Complex Motion Based on New Approach of Parameters Estimation for Polynomial Phase Signal

ISAR imaging of ships at sea with significant motion results in the Doppler frequency shift for the received signal is time-varying, which will deteriorate the ISAR image quality for the Range-Doppler (RD) algorithm. In this paper, the received signal is modeled as a multicomponent cubic phase signal (CPS), and a new method for estimating the parameters of CPS based on the integrated high-order matched phase transform (IHMPT) is proposed. This algorithm is simpler and more computational efficient than some of other parameters estimation algorithms proposed previously. Then, combined with the Range-Instantaneous-Doppler (RID) technique, the high quality instantaneous ISAR images can be obtained. The results of simulated and measured data are provided to demonstrate the effectiveness of the new method proposed.

[1]  Ljubisa Stankovic,et al.  SAR imaging of moving targets using polynomial Fourier transform , 2008 .

[2]  Marco Diani,et al.  High-resolution ISAR imaging of maneuvering targets by means of the range instantaneous Doppler technique: modeling and performance analysis , 2001, IEEE Trans. Image Process..

[3]  F. Berizzi,et al.  Time windowing for highly focused ISAR image reconstruction , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[4]  LJubisa Stankovic,et al.  Adaptive Local Polynomial Fourier Transform in ISAR , 2006, EURASIP J. Adv. Signal Process..

[5]  George A. Lampropoulos,et al.  Application of adaptive joint time-frequency algorithm for focusing distorted ISAR images from simulated and measured radar data , 2003 .

[6]  Genyuan Wang,et al.  Inverse synthetic aperture radar imaging of nonuniformly rotating targets , 1996 .

[7]  Thayananthan Thayaparan,et al.  Real-Time Motion Compensation , Image Formation and Image Enhancement of Moving Targets in ISAR and SAR Using S-method Based Approach , 2011 .

[8]  Vesna Zeljkovic,et al.  Automatic algorithm for inverse synthetic aperture radar images recognition and classification , 2010 .

[9]  Yong Wang,et al.  ISAR Imaging of a Ship Target Using Product High-Order Matched-Phase Transform , 2009, IEEE Geoscience and Remote Sensing Letters.

[10]  M. Martorella,et al.  Novel approach for ISAR image cross-range scaling , 2008, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Mengdao Xing,et al.  Inverse synthetic aperture radar imaging of ship target with complex motion , 2008 .

[12]  Benjamin Friedlander,et al.  The discrete polynomial-phase transform , 1995, IEEE Trans. Signal Process..

[13]  Shie Qian,et al.  Joint time-frequency transform for radar range-Doppler imaging , 1998 .

[14]  D. Munson,et al.  Wide-angle radar imaging using time-frequency distributions , 2003 .

[15]  Zheng Bao,et al.  Experimental research of unsupervised Cameron/maximum-likelihood classification method for fully polarimetric synthetic aperture radar data , 2010 .

[16]  Xing Mengdao,et al.  ISAR imaging of manoeuvring targets with the range instantaneous chirp rate technique , 2009 .

[17]  Mengdao Xing,et al.  Time-frequency approaches to ISAR imaging of maneuvering targets and their limitations , 2001 .

[18]  Hao Ling,et al.  Application of adaptive chirplet representation for ISAR feature extraction from targets with rotating parts , 2003 .

[19]  Junfei Li,et al.  Inverse Synthetic Aperture Radar Imaging , 1998 .

[20]  G. Duff,et al.  Distortion in the inverse synthetic aperture radar (ISAR) images of a target with time-varying perturbed motion , 2003 .

[21]  Ljubisa Stankovic,et al.  Real-time motion compensation, image formation and image enhancement of moving targets in ISAR and SAR using S-methodbased approach , 2008 .