Improved MISO-SAR System Based on BiDirectional Imaging

Jiang Hai; Song Hong-jun

doi:10.12000/JR15022

Volume 4 Issue 5

Nov. 2015

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > Journal of Radars > 2015 > 4(5): 571-581

WANG Yuqi, SUN Guangcai, YANG Jun, et al. Passive localization algorithm for radiation source based on long synthetic aperture[J]. Journal of Radars, 2020, 9(1): 185–194. doi: 10.12000/JR19080

Citation:

Jiang Hai, Song Hong-jun. Improved MISO-SAR System Based on BiDirectional Imaging[J]. Journal of Radars, 2015, 4(5): 571-581. doi: 10.12000/JR15022

WANG Yuqi, SUN Guangcai, YANG Jun, et al. Passive localization algorithm for radiation source based on long synthetic aperture[J]. Journal of Radars, 2020, 9(1): 185–194. doi: 10.12000/JR19080

Citation:

Jiang Hai, Song Hong-jun. Improved MISO-SAR System Based on BiDirectional Imaging[J]. Journal of Radars, 2015, 4(5): 571-581. doi: 10.12000/JR15022

PDF( 8226 KB)

Improved MISO-SAR System Based on BiDirectional Imaging

DOI: 10.12000/JR15022

Jiang Hai^,,
Song Hong-jun

1.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
2.
University of Chinese Academy of Sciences, Beijing, 100049, China

Received Date: 2015-02-11
Rev Recd Date: 2015-04-30
Publish Date: 2015-10-28

Abstract

Abstract

In 2012, the German Aerospace Center (DLR.) proposed a BiDirectional mode that can achieve several seconds of repeated time lags by single star and single flight. Its basic principle includes the generation of a double-beam antenna pattern by electronic beam steering and simultaneous emission of two pulses that irradiate the front and back imaging area. The two pulses, which are simultaneously received will be separated by band-pass filtering in the Doppler domain and imaged, respectively. This paper presents an improved Multi Input Single Output (MISO)-SAR system based on the BiDirectional mode which converts the traditional simultaneous dual beam emitting and receiving into time-division emitting and simultaneous receiving, respectively. This results in an improved emitting antenna pattern owning to the suppression of the Azimuth Ambiguity to Signal Ratio (AASR). The current paper describes the spectrum separation effects, AASR analysis, and the system design process. Therefore, to confirm effectiveness, point target 1-D and 2-D simulation results are compared before and after the improvement. Furthermore, the BiDirectional and other short-term repeated SAR modes are compared.
- BiDirectional SAR,
- Multi Input Single Output (MISO),
- Grating lobe,
- Azimuth Ambiguity to Signal Ratio (AASR)

FullText(HTML)

References(18)

References

[1]	Frasier S J and Camps A J. Dual-beam interferometry for ocean surface current vector mapping[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(2): 401-414.
[2]	DAria D, De Zan F, Giudici D, et al.. Burst-mode SARs for wide-swath surveys[J]. Canadian Journal of Remote Sensing, 2007, 33(1): 27-38.
[3]	Xu Wei and Deng Yun-kai. Investigation on electronic azimuth beam steering in the spaceborne SAR imaging modes[J]. Journal of Electromagnetic Waves and Applications, 2011, 25: 2076-2088.
[4]	Baumgartner S V and Krieger G. Large along-track baseline SAR-GMTI: first results with the TerraSAR-X/TanDEM-X satellite constellation[C]. IEEE Geoscience and Remote Sensing Symposium, Vancouver, Canada, 2011: 1319-1322.
[5]	Mittermayer J, Wollstadt S, Baumgartner S, et al.. Approach to velocity and acceleration measurement in the Bi-Directional SAR imaging mode[C]. IEEE Geoscience and Remote Sensing Symposium, Munich, Germany, 2012: 5618-5621.
[6]	Mittermayer J, Wollstadt S, Prats-Iraola P, et al.. Bidirectional SAR imaging mode[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(1): 601-614.
[7]	Mittermayer J, Schttler B, and Younis M. TerraSAR-X commissioning phase execution summary[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 649-659.
[8]	Suchandt S, Runge H, Breit H, et al.. Automatic extraction of traffic flows using TerraSAR-X alongtrack interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 807-819.
[9]	Hueso Gonzalez J, Bachmann M, and Hofmann H. TanDEM-X commissioning phase status[C]. IEEE Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, 2010: 2633-2635.
[10]	Mittermayer J, Younis M, Metzig R, et al.. TerraSAR-X system performance characterization and verification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 660-676.
[11]	Mittermayer J and Runge H. Conceptual studies for exploiting the TerraSAR-X dual receive antenna[C]. IEEE Geoscience and Remote Sensing Symposium, Toulouse, France, 2003: 2140-2142.
[12]	Romeiser R, Suchandt S, Runge H, et al.. First analysis of TerraSAR-X along-track InSAR-derived current fields[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2): 820-829.
[13]	Krieger G, Moreira A, Fiedler H, et al.. TanDEM-X: a satellite formation for high resolution SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(11): 3317-3341.
[14]	Bamler R and Eineder M. Accuracy of differential shift estimation by correlation and split-bandwidth interferometry for wideband and delta-k SAR systems[J]. IEEE Geoscience and Remote Sensing Letters, 2005, 2(2): 151-155.
[15]	Stangl M, Werninghaus R, and Zahn R. The TerraSAR-X active phased array antenna[C]. IEEE International Symposium on Phased Array Systems and Technology, Boston, USA, 2003: 70-75.
[16]	Suess M, Riegger S, Pitz W, et al.. TERRASAR-X-Design and performance[C]. Proceedings of EUSAR, Koln, Germany, 2002: 133-136.
[17]	Ouchi K. On the multilook images of moving targets by synthetic aperture radars[J]. IEEE Transactions on Antennas and Propagation, 1985, 33(8): 823-827.
[18]	Prats P, Marotti L, Wollstadt S, et al.. Investigations on tops interferometry with TerraSAR-X[C]. IEEE Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, 2010: 2629-2632.

Relative Articles

[1]	GAO Zhiqi, SUN Shuchen, HUANG Pingping, QI Yaolong, XU Wei. Improved L_1/2 Threshold Iterative High Resolution SAR Imaging Algorithm[J]. Journal of Radars, 2023, 12(5): 1044-1055. doi: 10.12000/JR22243
[2]	DONG Shuxian, WU Yaojun, FANG Wen, QUAN Yinghui. Anti-interrupted Sampling Repeater Jamming Method Based on Frequency-agile Radar Joint Fuzzy C-means[J]. Journal of Radars, 2022, 11(2): 289-300. doi: 10.12000/JR21205
[3]	YU Longlong, FENG Dong, WANG Jian, HUANG Xiaotao. Estimation of the Minimum Number of Acquisitions for Coprime Tomographic Synthetic Aperture Radar[J]. Journal of Radars, 2022, 11(4): 618-636. doi: 10.12000/JR22047
[4]	DENG Likang, ZHANG Shuanghui, ZHANG Chi, LIU Yongxiang. A Multiple-Input Multiple-Output Inverse Synthetic Aperture Radar Imaging Method Based on Multidimensional Alternating Direction Method of Multipliers[J]. Journal of Radars, 2021, 10(3): 416-431. doi: 10.12000/JR20132
[5]	PAN Jie, WANG Shuai, LI Daojing, LU Xiaochun. High-resolution Wide-swath SAR Moving Target Imaging Technology Based on Distributed Compressed Sensing[J]. Journal of Radars, 2020, 9(1): 166-173. doi: 10.12000/JR19060
[6]	XIE Jinwei, LI Zhenfang, WANG Fan, WANG Zhibin. SAR Tomography Imaging for Buildings Using an Inconsistency Criterion for Amplitude and Phase[J]. Journal of Radars, 2020, 9(1): 154-165. doi: 10.12000/JR19062
[7]	DING Chibiao, QIU Xiaolan, XU Feng, LIANG Xingdong, JIAO Zekun, ZHANG Fubo. Synthetic Aperture Radar Three-dimensional Imaging——From TomoSAR and Array InSAR to Microwave Vision（in English）[J]. Journal of Radars, 2019, 8(6): 693-709. doi: 10.12000/JR19090
[8]	Wei Shunjun, Tian Bokun, Zhang Xiaoling, Shi Jun. Compressed Sensing Linear Array SAR Autofocusing Imaging via Semi-definite Programming[J]. Journal of Radars, 2018, 7(6): 664-675. doi: 10.12000/JR17103
[9]	Hu Jingqiu, Liu Falin, Zhou Chongbin, Li Bo, Wang Dongjin. CS-SAR Imaging Method Based on Inverse Omega-K Algorithm[J]. Journal of Radars, 2017, 6(1): 25-33. doi: 10.12000/JR16027
[10]	Chen Ying, Zhong Fei, Guo Shuxu. Blind Compressed Sensing Parameter Estimation of Non-cooperative Frequency Hopping Signal[J]. Journal of Radars, 2016, 5(5): 531-537. doi: 10.12000/JR15106
[11]	Li Liechen, Li Daojing, Huang Pingping. Airship Sparse Array Antenna Radar Real Aperture Imaging Based on Compressed Sensing and Sparsity in Transform Domain[J]. Journal of Radars, 2016, 5(1): 109-117. doi: 10.12000/JR14159
[12]	Zhong Jinrong, Wen Gongjian. Compressive Sensing for Radar Target Signal Recovery Based on Block Sparse Bayesian Learning(in English)[J]. Journal of Radars, 2016, 5(1): 99-108. doi: 10.12000/JR15056
[13]	Ren Xiaozhen, Yang Ruliang. Four-dimensional SAR Imaging Algorithm Based on Iterative Reconstruction of Magnitude and Phase[J]. Journal of Radars, 2016, 5(1): 65-71. doi: 10.12000/JR15135
[14]	Xiao Peng, Wu Youming, Yu Ze, Li Chunsheng. Azimuth Ambiguity Suppression in SAR Images Based on Compressive Sensing Recovery Algorithm[J]. Journal of Radars, 2016, 5(1): 35-41. doi: 10.12000/JR16004
[15]	Gu Fufei, Zhang Qun, Yang Qiu, Huo Wenjun, Wang Min. Compressed Sensing Imaging Algorithm for High-squint SAR Based on NCS Operator[J]. Journal of Radars, 2016, 5(1): 16-24. doi: 10.12000/JR15035
[16]	Yang Jun, Zhang Qun, Luo Ying, Deng Donghu. Method for Multiple Targets Tracking in Cognitive Radar Based on Compressed Sensing[J]. Journal of Radars, 2016, 5(1): 90-98. doi: 10.12000/JR14107
[17]	Wang Aichun, Xiang Maosheng. SAR Tomography Based on Block Compressive Sensing[J]. Journal of Radars, 2016, 5(1): 57-64. doi: 10.12000/JR16006
[18]	Liao Ming-sheng, Wei Lian-huan, Wang Zi-yun, Timo Balz, Zhang Lu. Compressive Sensing in High-resolution 3D SAR Tomography of Urban Scenarios[J]. Journal of Radars, 2015, 4(2): 123-129. doi: 10.12000/JR15031
[19]	Zhong Li-hua, Hu Dong-hui, Ding Chi-biao, Zhang Wen-yi. ISAR Sparse Aperture Imaging Algorithm for Large Size Target[J]. Journal of Radars, 2012, 1(3): 292-300. doi: 10.3724/SP.J.1300.2012.20033
[20]	Liu Zhen, Wei Xi-zhang, Li Xiang. Novel Method of Unambiguous Moving Target Detection in Pulse-Doppler Radar with Random Pulse Repetition Interval[J]. Journal of Radars, 2012, 1(1): 28-35. doi: 10.3724/SP.J.1300.2013.10063

Supplements(0)

Cited By

Cited by

Periodical cited type(3)

1.	黄晓云. 基于光场重构的室内空间布局三维成像方法研究. 激光杂志. 2024(04): 228-232 .
2.	Xiaolan Qiu，Zekun Jiao，Zhe Zhang，Qiancheng Yan，Chibiao Ding. Advances and prospects in SAR microwave vision three-dimensional imaging. National Science Open. 2024(05): 53-83 .
3.	Xinyuan Liu，Shunjun Wei，Wei Pu，Xiang Cai，Yanbo Wen，Shisheng Guo，Lingjiang Kong，Xiaoling Zhang. RM-CSTV: An effective high-resolution method of non-line-of-sight millimeter-wave radar 3-D imaging. National Science Open. 2024(05): 36-52 .

Other cited types(5)

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(2337) PDF downloads(1196)