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研究生:廖致弘
研究生(外文):Chih-Hung Liao
論文名稱:地形雷達影像合成技術研究
論文名稱(外文):Research on Synthetic Technology of Terrain Radar Image
指導教授:林志民林志民引用關係
指導教授(外文):Chih-Min Lin
學位類別:碩士
校院名稱:元智大學
系所名稱:電機工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2010
畢業學年度:99
語文別:英文
論文頁數:70
中文關鍵詞:合成孔徑雷達背向散射係數虛擬成像
外文關鍵詞:Synthetic Aperture Radar (SAR)backscattering coefficientvirtual image
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合成孔徑雷達(Synthetic Aperture Radar SAR)成像是利用衛星或機載雷達接收回波信號並加以處理及儲存,進而達成虛擬成像,而不是經由聚束掃描某一特定區域來達成亮點成像。SAR系統的資料庫形成大部份都會遇到偵察與監控問題。此一SAR虛擬成像系統,會提供固定的條狀式地形在距離區域,亦稱為帶幅SAR或者側視SAR。本論文進行對雷達衛星偵察之假影像干擾相關研究,針對衛星SAR成像編碼方式進行分析,計算出各種地形特徵之背向散射係數,建立地形數學模式。以實現一套針對SAR偵察的有效電子反制作業方式。

Synthetic Aperture Radar (SAR) virtual imaging is based on processing and storing the echoed data obtained from a satellite or airborne radar, it does not spotlight a specific target area via beam steering. The form of SAR database is mainly encountered in reconnaissance or surveillance problem. Such a SAR imaging system, which provides a map of a terrain within a fixed strip in the range domain, is also known as strip-map SAR or side-looking SAR. This thesis develops a related research on the interference of virtual images to degrade the capability of SAR detection. We have analyzed the coding format and calculated the backscattering coefficient depending on different terrains characteristic of the SAR image, and then established the terrain mathematical model. Thus we can execute the electronic countermeasure through virtual images .

Contents
書名頁 i
論文口試委員審定書 ii
授權書 iii
摘要 iv
Abstract v
誌謝 vi
Contents vii
List of Figures ix
Nomenclature xiii
Chapter 1 Introduction
1.1 Strip-map SAR system model 1
1.2 Radar radiation pattern 2
1.3 Strip-map SAR signal model 6
1.4 Reconstruction 9
Chapter 2 Strip-map SAR Signal
2.1 Bandwidth of strip-map SAR Signal 11
2.2 Planar radar aperture 12
2.3 Curved radar aperture 14
Chapter 3 Data Acquisition and Signal Processing
3.1 Fast time domain sampling and processing 19
3.1.1 Fast-time interval of sampling 18
3.1.2 Fast-time sample spacing 20
3.1.3 Fast-time reference point for matched filtering 21
3.2 Slow-time domain sampling and processing 23
3.3 Slow-time compression and processing 24
3.4 Sub-aperture 26
3.4.1 Sub-aperture digital spotlighting 26
3.4.2 Sub-aperture size 29
3.5 Reconstruction algorithm and SAR image processing 30
3.5.1 Two-dimensional frequency domain matched filtering 30
3.5.2 Zero-padding in fast-time domain 31
3.5.3 Zero-padding in synthetic aperture domain 32
3.5.4 Digital reconstruction via spatial frequency interpolation 32
3.6 Reconstruction algorithm 34
Chapter 4 Experimental Design and Results
4.1 Regulation multilateral form 39
4.1.1 Square 39
4.1.2 Triangle 41
4.1.3 Circle 43
4.2 Terrain analysis (Flat ground、Sandlot、Lake) 45
4.1.1 Flat ground 46
4.1.2 Sandlot 47
4.1.3 Lake 49

Chapter 5 Conclusions and Future Researches 50
Reference 52
Autobiography 53


Reference
[1] Li Jiangyuan, ‘‘The New Criterion to Evaluate SAR Jamming Effect Based on the Statistical Distinction,’’ No.38 Research Institute of CETC,Hefei 230031,China.
[2] Zhu Yan, Zhao Guoqing and Zhang Yu, ‘‘Research on SAR Jamming Technique Based on Man-made Map,’’ School of Electronic Engineering
Xidian University Xi''an, China.
[3] ‘‘DRFM-Modulator for HRR-Jamming,’’ FFI – Norwegian Defence Research Establishment Division for Information Management P.O. Box 25, NO-2027 Kjeller Norway.
[4] M. Soumekh,“Reconnaissance with ultra wideband UHF synthetic aperture radar,” IEEE Signal Processing Magazine,1995.
[5] S. Mehrdad, Synthetic Aperture Radar Signal Processing with MATLAB
Algorithm, 1983.
[6] 向敬成、張明友著,”雷達系統”, 五南圖書出
版社2004年第1版。
[7] Ian G. C and Wong F. H.,”合成孔徑雷達成像-算法與實現”,電子工業出版社。
[8] 鄔永革、劉雷健和李根深,戰場數據融合技術,兵器工業出版社,北京,1994.
[9] Bottlik I. P. and Blackman S. S., “Coordinated present of multiple hypotheses in multitarget tracking,”Signal and Data Processing of Small Targets, Proc. SPIE 1096, pp. 152-159, 1989.
[10] Bar-Shalom Y., and Fortmann T. E., Tracking and Data Association, New York: Academic Press, 1988.
[11] Fortmann T. E., Bar-Shalom Y., and Scheffe M., “Sonar tracking of multiple
targets using joint probabilistic data association,” Journal of Oceanic
Engineering, vol. OE-8, pp. 173-184, 1983.
[12] Fabio Del Frate, Fabio Pacifici, and Domenico Solimini, “Monitoring Urban
Land Cover in Rome, Italy, and Its Changes by Single-Polarization
Multitemporal SAR Images,’’ IEEE JOURNAL OF SELECTED TOPICS IN
APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 1,
NO. 2, JUNE 2008.
[13] Raffaella Guida, Antonio Iodice, Daniele Riccio, and Uwe Stilla, “Model-Based
Interpretation of High-Resolution SAR Images of Buildings,’’ IEEE JOURNAL
OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND
REMOTE SENSING, VOL. 1, NO. 2, JUNE 2008.


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