距离频率ML方法无模糊估计动目标径向速度

doi:10.3969/j.issn.1001-2400.2014.05.008

Abstract

Abstract:

The radial velocity of a moving target should be estimated unambiguously in the synthetic aperture radar-ground moving target detection system. Estimation performance of the conventional maximum likelihood method based on multi-channel would decline when the radial velocity approaches the maximum unambiguous velocity. To solve these problems, the ML estimation method based on the range frequency interferometric phase is proposed in this paper. Compared with the conventional method, the proposed method weakens the effect of probability density function spreading. The radial velocity can be estimated accurately even when it approaches the maximum unambiguous velocity. The effect of noise on radial velocity estimation is also analyzed from two aspects of correlation coefficient and interferometric phase, which can be reduced by increasing independent samples. Numerical and real data are processed to demonstrate the effectiveness of the proposed method.

Key words: synthetic aperture radar, ground moving targets indication, unambiguous radial velocity estimation, maximum likelihood method, range frequency interferometric phase

ZHANG Xuepan;LIAO Guisheng;ZHU Shengqi;GAO Yongchan;YANG Dong. Unambiguous estimation of the radial velocity of a moving target by the range frequency maximum likelihood method[J].J4, 2014, 41(5): 42-47+104.

References

［1］ Bin G, Duc V, Lu Z X, et al. Ground Moving Target Indication via Multichannel Airborne SAR［J］. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(10): 3753-3764.
［2］ Sun G, Xing M, Xia X G, et al. Robust Ground Moving-target Imaging Using Deramp-keystone Processing［J］. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(2): 966-982.
［3］ Dragosevic M V, Burwash W, Chiu S. Detection and Estimation With RADARSAT-2 Moving-object Detection Experiment Modes［J］. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(9): 3527-3543.
［4］ Zhu S, Liao G, Qu Y, et al. A New Slant-range Velocity Ambiguity Resolving Approach of Fast Moving Targets for SAR System［J］. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(1): 432-451.
［5］ Xu R P, Zhang D D, Hu D H, et al. A Novel Motion Parameter Estimation Algorithm of Fast Moving Targets via Single-antenna Airborne SAR System［J］. IEEE Geoscience and Remote Sensing Letters, 2012, 9(5): 920-924.
［6］贺顺, 杨志伟, 徐青, 等. 分布式卫星SAR面目标径向速度估计方法［J］. 西安电子科技大学学报, 2011, 38(4): 129-132.
He Shun, Yang Zhiwei, Xu Qing, et al. Radial Velocity Estimation for the Extended Moving Target with Distributed Slace-borne SAR［J］. Journal of Xidian University, 2011, 38(4): 129-132.
［7］杨垒, 王彤, 保铮. 解运动目标径向速度模糊的一种新方法［J］. 西安电子科技大学学报, 2009, 36(2): 189-192.
Yang Lei, Wang Tong , Bao Zheng. New Method for Solving the Ambiguity of the Radial Velocity of a Moving Target［J］. Journal of Xidian University, 2009, 36(2): 189-192.
［8］ Monti G A, Tebaldini S. ML-Based Fringe-frequency Estimation for InSAR［J］. IEEE Geoscience and Remote Sensing Letters, 2010, 7(1): 136-140.
［9］ Chung P J, Boehme J F. The Methodology of the Maximum Likelihood Approach: Estimation, Detection, and Exploration of Seismic Events［J］. IEEE Signal Processing Magazine, 2012, 29(3): 40-46.
［10］ Ernst J M, Krogmeier J V, Bullock D M. Maximum-likelihood Acceleration Estimation From Existing Roadway Vehicle Detectors［J］. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(2): 759-769.
［11］ Insanic E, Siqueira P R. A Maximum Likelihood Approach to Estimation of Vector Velocity in Doppler Radar Networks［J］. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(2): 553-567.
［12］ Budillon A, Pascazio V, Schirinzi G. Estimation of Radial Velocity of Moving Targets by Along-track Interferometric SAR Systems［J］. IEEE Geoscience and Remote Sensing Letters, 2008, 5(3): 349-353.
［13］ Budillon A, Ferraiuolo G, Pascazio V, et al. Multi-channel SAR Interferometry via Classical and Bayesian Estimation Techniques［J］. Journal on Applied Signal Processing, 2005(20): 3180-3193.
［14］ Pascazio V, Schirinzi G. Multifrequency InSAR Height Reconstruction through Maximum Likelihood Estimation of Local Planes Parameters［J］. IEEE Transactions on Image Processing, 2002, 11(12): 1478-1489.
［15］ Radius A, Marques P. A Study on the Radial Velocity Information Obtained from SAR Subapertures［C］//9th European Conference on Synthetic Aperture Radar. Piscataway: IEEE, 2012: 320-323.
［16］张学攀, 廖桂生, 朱圣棋, 等. 双通道距离频率干涉相位解运动目标径向速度模糊方法［J］. 宇航学报, 2013, 34(8): 1152-1158.
Zhang Xuepan, Liao Guisheng, Zhu Shengqi, et al. Radial Velocity Ambiguity Resolving Approach of Moving Targets Using Dual-channel Interferometric Phase of Range Frequency［J］. Journal of Astronautics, 2013, 34(8): 1152-1158.
［17］ Gierull C H. Statistical Analysis of Multilook SAR Interferograms［J］. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(4): 691-701.
［18］ Bamler R, Hartl P. Synthetic Aperture Radar Interferometry［J］. Inverse Problems, 1998, 14(4): R1-R54.

[1]	WANG Xin,CHANG Guiqing,CHI Chenchen. Separation and imaging of the anisotropic scattering targets in the wide-angle SAR [J]. Journal of Xidian University, 2021, 48(2): 109-116.
[2]	LU Jinwen,YAN Hua,YIN Hongcheng,ZHANG Lei,DONG Chunzhu. Edge diffraction correction for 3D scattering center modeling based on the shooting and bouncing ray technique [J]. Journal of Xidian University, 2021, 48(2): 117-124.
[3]	TAO Yi,DING Li. Method for digital IQ frequency-domain calibration based on conjugate symmetry [J]. Journal of Xidian University, 2021, 48(2): 181-189.
[4]	HU Liping,YAN Hua,ZHONG Weijun,YIN Hongcheng,WANG Chao. Three-dimensional scattering center modeling and a fast SAR simulation method for ship targets [J]. Journal of Xidian University, 2021, 48(2): 72-83.
[5]	DUAN Chongdi,HAN Chaolei,YANG Zhiwei,ZHANG Qingjun. Inshore ambiguity clutter suppression method aided by clutter classification [J]. Journal of Xidian University, 2021, 48(2): 64-71.
[6]	YANG Jun,ZHOU Fang. Ultra-high resolution imaging method for the distributed small satellite MIMO-SAR [J]. Journal of Xidian University, 2021, 48(2): 99-108.
[7]	WANG Zhihao,ZHANG Jinsong,SUN Guangcai,LI Jun,XING Mengdao. Combined multi-features method for the detection of SAR man-made weak trace [J]. Journal of Xidian University, 2019, 46(6): 131-139.
[8]	YANG Lei,YUE Yunze,LI Pucheng,ZHANG Tao,YANG Huan. Sparse representation of large dynamic range SAR imaging for multiple ground moving targets [J]. Journal of Xidian University, 2019, 46(5): 31-40.
[9]	GUO Rui,ZANG Bo,PENG Shuming,XING Mengdao. Extraction of features of the urban high-rise building from high resolution InSAR data [J]. Journal of Xidian University, 2019, 46(4): 137-143.
[10]	ZENG Chuangzhan,ZHU Weigang,JIA Xin. Sparse-aperture ISAR imaging algorithm [J]. Journal of Xidian University, 2019, 46(3): 123-129.
[11]	LIANG Yi, LI Qingqing, SUN Kun, DANG Yanfeng, DING Jinshan. New method for missile positioning based on SAR scene matching [J]. Journal of Xidian University, 2018, 45(6): 1-6.
[12]	SUN Chen, CHENG Liye. Spatial sensing matrix learning for PolSAR image classification [J]. Journal of Xidian University, 2018, 45(6): 92-98.
[13]	LIU Jiange, MU Dejun. Novel sea ice edge detection method in SAR imagery [J]. Journal of Xidian University, 2018, 45(6): 106-111.
[14]	WANG Yuekun;SUO Zhiyong;LI Zhenfang;ZHANG Jinqiang;ZHANG Qingjun. Improved CS imaging algorithm for the GEO-LEO BiSAR system [J]. Journal of Xidian University, 2018, 45(5): 50-56+196.
[15]	XU Qiang;LI Wei;ZHAN Ronghui;ZOU Kun. Improved algorithm for SAR target recognition based on the convolutional neural network [J]. Journal of Xidian University, 2018, 45(5): 177-183.

Unambiguous estimation of the radial velocity of a moving target by the range frequency maximum likelihood method

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 0