DOA estimation based imaging method for multi-channel forward-looking SAR

被引：0
作者：
Wang N. [1 ]
He P. [1 ]
Lu J. [2 ]
Liu X. [2 ]
机构：
[1] Xi'An Microelectronics Technology Institute, Xi'an
[2] School of Computer Science and Technology, Xidian University, Xi'an
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 08期
关键词：
direction of arrival (DOA) estimation; forward-looking imaging; left-right Doppler ambiguity; resolution enhancement; synthetic aperture radar (SAR);
D O I：
10.12305/j.issn.1001-506X.2023.08.21
中图分类号：
学科分类号：
摘要：
Aiming at the limited azimuth resolution and left-right Doppler ambiguity of forward-looking synthetic aperture radar (SAR), this paper proposes a direction of arrival (DOA) estimation based imaging algorithm for forward-looking multi-channel SAR (FLMC-SAR). The proposed algorithm comprehensively utilizes the system space-time resources and adopts the processing flow of space-time cascade. Firstly, the forward-looking area is preliminarily imaged through SAR, therefore the target signal of each imaging unit is separated in the two-dimensional image domain. Secondly, the space-time model of the separated signal is established by using the different spatial steering vector. The DOA estimation is performed on the signals in each imaging unit through the array multi-channel to realize the target signal relocation and enhance the forward-looking imaging resolution. Meanwhile, the space-time model takes into account the different steering vectors of the ambiguous target, which can realize the left-right Doppler ambiguity resolving and resolution enhancement. Finally, the simulation and real-data demonstrate the effectiveness of the proposed algorithm. © 2023 Chinese Institute of Electronics. All rights reserved.
引用
收藏
页码：2471 / 2478
页数：7
相关论文
共 32 条
[1]  
YANG J Y., Multi-directional evolution trend and law analysis of ra-dar ground imaging technology, Journal of Radars, 8, 6, pp. 669-692, (2019)
[2]  
WU Y R, ZHU M H., The developing status and trends of synthetic aperture radar, Remote Sensing Technology and Application, 15, 2, pp. 121-123, (2000)
[3]  
MOREIRAA, PRATS-IRAOLA P, YOUNISM, Et al., A tutorial on synthetic aperture radar, IEEE Geoscience and Remote Sensing Magazine, 1, 1, pp. 6-43, (2013)
[4]  
YANG J Y., Development laws and macro trends analysis of radar technology, Journal of Radars, 1, 1, pp. 19-27, (2012)
[5]  
WEI Z Q., Synthetic aperture radar satellite, (2001)
[6]  
SUTOR T, BUCKREUSS S, KRIEGER G, Et al., Sector imaging radar for enhanced vision
[7]  
theory and applications, Proc. of the European Conference on Synthetic Aperture Radar, pp. 357-359, (2000)
[8]  
KRIEGER G, MITTERMAYER J, WENDLER M, Et al., SIREV-sector imaging radar for enhanced vision, Proc. of the 2nd International Symposium on Image and Signal Processing and Analysis, 7, 2, pp. 147-158, (2003)
[9]  
KRIEGER G, MITTERMAYER J, WENDLER M, Et al., SIREV-sector imaging radar for enhanced vision [C], Proc. of the International Symposium on Image and Signal Processing and Analysis, pp. 377-382, (2002)
[10]  
YARMAN C E, YAZIC1 B, CHENEY M., Bistatic synthetic aperture radar imaging for arbitrary flight trajectories, IEEE Trans, on Image Processing, 17, 1, pp. 84-93, (2008)
1234