基于迭代方法的联合压缩感知与相位修正多站外辐射源雷达成像算法研究

王珏; 王俊

doi:10.1631/FITEE.1601423

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基于迭代方法的联合压缩感知与相位修正多站外辐射源雷达成像算法研究

常规文章 | Updated：2022-05-19

- 基于迭代方法的联合压缩感知与相位修正多站外辐射源雷达成像算法研究
- Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar
- 信息与电子工程前沿（英文） 2018年19卷第4期页码：557-568
- Affiliations：
  
  National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
- Author bio：
  
  Jue WANG, E-mail: xdwangjue@163.com
- Funds：
  
  Project supported by the National Natural Science Foundation of China (No. 61401526), the Innovative Research Team in University, China (No. IRT0954), and the Foundation of National Ministries, China (No. 9140A07020614DZ01)
- DOI：10.1631/FITEE.1601423
  中图分类号： TN95
- 收稿：2016-09-13，
  
  修回：2018-;4-12，
  
  纸质出版：2018-04
- Accepted：
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王珏, 王俊. 基于迭代方法的联合压缩感知与相位修正多站外辐射源雷达成像算法研究[J]. 信息与电子工程前沿（英文）, 2018,19(4):557-568.

Jue WANG, Jun WANG. Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(4): 557-568.
王珏, 王俊. 基于迭代方法的联合压缩感知与相位修正多站外辐射源雷达成像算法研究[J]. 信息与电子工程前沿（英文）, 2018,19(4):557-568. DOI： 10.1631/FITEE.1601423.

Jue WANG, Jun WANG. Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(4): 557-568. DOI： 10.1631/FITEE.1601423.

摘要

受限于机会照射源信号通常为窄带信号，多站外辐射源雷达成像系统分辨率通常较低。另外，由于跟踪系统精度影响及站址测量过程中存在测量误差，系统成像质量会严重下降。为提高多站外辐射源雷达成像系统成像性能，开展了基于层析成像原理的高分辨外辐射源雷达成像算法研究。进一步，将压缩感知技术应用于外辐射源雷达成像系统中，以改善系统成像分辨力。最后，针对非合作平台测量误差引入的相位误差，提出相应的外辐射源雷达成像系统相位补偿方法。通过最小化图像的重构误差建立了相位误差求解模型，基于定点迭代技术对相位误差模型求解。所提相位误差补偿技术是一种非参数化方法，可用于补偿任意形式相位误差。理论分析与仿真实验验证了所提方法的有效性和收敛性。

Abstract

The resolution of the multistatic passive radar imaging system (MPRIS) is poor due to the narrow bandwidth of the signal transmitted by illuminators of opportunity. Moreover

the inaccuracies caused by the inaccurate tracking system or the error position measurement of illuminators or receivers can deteriorate the quality of an image. To improve the performance of an MPRIS

an imaging method based on the tomographic imaging principle is presented. Then the compressed sensing technique is extended to the MPRIS to realize high-resolution imaging. Furthermore

a phase correction technique is developed for compensating for phase errors in an MPRIS. Phase errors can be estimated by iteratively solving an equation that is derived by minimizing the mean recovery error of the reconstructed image based on the principle of fixed-point iteration technique. The technique is nonparametric and can be used to estimate phase errors of any form. The effectiveness and convergence of the technique are confirmed by numerical simulations.

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references

F Berizzi , , , G Corsini . . Autofocusing of inverse synthetic aperture radar images using contrast optimization . . IEEE Trans Aerosp Electron Syst , , 1996 . . 32 ( ( 3 ): ): 1185 - - 1191 . . DOI: 10.1109/7.532282 http://doi.org/10.1109/7.532282 . .

F Berizzi , , , M Martorella , , , B Haywood , , , 等 . . A survey on ISAR autofocusing techniques . . Proc Int Conf on Image Processing , , 2004 . . p.9 - - 12 . . DOI: 10.1109/ICIP.2004.1418676 http://doi.org/10.1109/ICIP.2004.1418676 . .

S Brisken , , , M Martella . . Multistatic ISAR autofocus with an image entropy-based technique . . IEEE Aerosp Electron Syst Mag , , 2014 . . 29 ( ( 7 ): ): 30 - - 36 . . DOI: 10.1109/MAES.2014.130140 http://doi.org/10.1109/MAES.2014.130140 . .

S Brisken , , , M Martorella , , , T Mathy , , , 等 . . Multistatic ISAR autofocussing using image contrast optimization . . IET Int Conf on Radar Systems , , 2012 . . p.1 - - 4 . . DOI: 10.1049/cp.2012.1623 http://doi.org/10.1049/cp.2012.1623 . .

S Brisken , , , M Martorella , , , T Mathy , , , 等 . . Motion estimation and imaging with a multistatic ISAR system . . IEEE Trans Aerosp Electron Syst , , 2014 . . 50 ( ( 3 ): ): 1701 - - 1714 . . DOI: 10.1109/TAES.2014.130099 http://doi.org/10.1109/TAES.2014.130099 . .

EJ Candès , , , T Tao . . Near-optimal signal recovery from random projections: universal encoding strategies . . IEEE Trans Inform Theory , , 2006 . . 52 ( ( 12 ): ): 5406 - - 5425 . . DOI: 10.1109/TIT.2006.885507 http://doi.org/10.1109/TIT.2006.885507 . .

DL Donoho . . Compressed sensing . . IEEE Trans Inform Theory , , 2006 . . 52 ( ( 4 ): ): 1289 - - 1306 . . DOI: 10.1109/TIT.2006.871582 http://doi.org/10.1109/TIT.2006.871582 . .

E Giusti , , , S Tomei , , , A Bacci , , , 等 . . Autofocus for CS based ISAR imaging in the presence of gapped data . . Proc 2 nd Int Workshop on Compressed Sensing Applied to Radar , , 2013 . . p.1 - - 4 . . . .

B Gonzalez-Valdes , , , G Allan , , , Y Rodriguez-Vaqueiro , , , 等 . . Sparse array optimization using simulated annealing and compressed sensing for near-field millimeter wave imaging . . IEEE Trans Antennas Propag , , 2014 . . 62 ( ( 4 ): ): 1716 - - 1722 . . DOI: 10.1109/TAP.2013.2290801 http://doi.org/10.1109/TAP.2013.2290801 . .

M Grant . . CVX: Matlab Software for Disciplined Convex Programming, Version 1.21 . . http://cvxr.com/cvx , , 2010 . . .

A Kirsch . . An Introduction to the Mathematical Theory of Inverse Problems . . Springer Science & Business Media, New York, NY , , 2011 . . DOI: 10.1007/978-1-4419-8474-6 http://doi.org/10.1007/978-1-4419-8474-6 . .

J Liu , , , HB Li , , , B Himed . . Two target detection algorithms for passive multistatic radar . . IEEE Trans Signal Process , , 2014 . . 62 ( ( 22 ): ): 5930 - - 5939 . . DOI: 10.1109/TSP.2014.2359637 http://doi.org/10.1109/TSP.2014.2359637 . .

XY Lv , , , J Wang , , , J Wang . . Robust direction of arrival estimate method in FM-based passive bistatic radar with a four-element Adcock antenna array . . IET Radar Sonar Navig , , 2015 . . 9 ( ( 4 ): ): 392 - - 400 . . DOI: 10.1049/iet-rsn.2014.0270 http://doi.org/10.1049/iet-rsn.2014.0270 . .

D Mensa , , , G Heidbreder , , , G Wade . . Aperture synthesis by object rotation in coherent imaging . . IEEE Trans Nucl Sci , , 1980 . . 27 ( ( 2 ): ): 989 - - 998 . . DOI: 10.1109/TNS.1980.4330965 http://doi.org/10.1109/TNS.1980.4330965 . .

NÖ Önhon , , , M Çetin . . A sparsity-driven approach for joint SAR imaging and phase error correction . . IEEE Trans Image Process , , 2012 . . 21 ( ( 4 ): ): 2075 - - 2088 . . DOI: 10.1109/TIP.2011.2179056 http://doi.org/10.1109/TIP.2011.2179056 . .

I Stojanovic , , , M Çetin , , , WC Karl . . Compressed sensing of monostatic and multistatic SAR . . IEEE Geosci Remote Sens Lett , , 2013 . . 10 ( ( 6 ): ): 1444 - - 1448 . . DOI: 10.1109/LGRS.2013.2259794 http://doi.org/10.1109/LGRS.2013.2259794 . .

J Wang , , , X Liu , , , Z Zhou . . Minimum-entropy phase adjustment for ISAR . . IEE Proc Radar Sonar Navig , , 2004 . . 151 ( ( 4 ): ): 203 - - 209 . . DOI: 10.1049/ip-rsn:20040692 http://doi.org/10.1049/ip-rsn:20040692 . .

J Wang , , , XW Zhang , , , Z Bao . . Passive radar imaging algorithm based on sub-apertures synthesis of multiple television stations . . Proc Int Conf on Radar , , 2006 . . p.1 - - 4 . . DOI: 10.1109/ICR.2006.343138 http://doi.org/10.1109/ICR.2006.343138 . .

QS Wu , , , YD Zhang , , , MG Amin , , , 等 . . High-resolution passive SAR imaging exploiting structured Bayesian compressive sensing . . IEEE J Sel Top Signal Process , , 2015 . . 9 ( ( 8 ): ): 1484 - - 1497 . . DOI: 10.1109/JSTSP.2015.2479190 http://doi.org/10.1109/JSTSP.2015.2479190 . .

CE Yarman , , , L Wang , , , B Yazici . . Passive synthetic aperture radar imaging with single frequency sources of opportunity . . Proc IEEE Radar Conf , , 2010 . . p.949 - - 954 . . DOI: 10.1109/RADAR.2010.5494484 http://doi.org/10.1109/RADAR.2010.5494484 . .

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