博碩士論文 990202004 詳細資訊




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姓名 古瓊昇(Chiung-Shen Ku)  查詢紙本館藏   畢業系所 遙測科技碩士學位學程
論文名稱 應用多輸入多輸出(MIMO)技術提高合成孔徑雷達解析度之研究
(MIMO-Based High Resolution SAR Imaging)
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摘要(中) 合成孔徑雷達(SAR)提供了全天候的廣泛應用以及高分辨率成
像能力。隨著技術的發展和地球觀測需求,一般期望建構寬帶取像,分辨率高,以獲得更好的詮釋和目標識別能力、不同方位和角度的多維信息,以及在城市或其他複雜的環境有更好的成像能力。而透過採用MIMO(多重輸入和多重輸出)技術可望達成上述需求。
根據多輸入多輸出(MIMO)雷達的最新進展的啟發,本文基於
MIMO 技術發展合成孔徑雷達成像方法;利用多個發射器和接收天線
單元配置,可以實現高分辨率SAR 圖像。MIMO 的性能經與傳統的
SAR 模擬作相對比較,結果顯示MIMO 技術在相同的系統頻寬下有
高分辨率成像的優越性。
摘要(英) Synthetic Aperture Radar(SAR) has won widely application and rapid growth in the last 5 decades because of its high resolution imaging capability under all-weather and all-day. With technology evolution and earth observation demands, it is highly expected that the system provide
wide swath imaging with high resolution, better interpretation and target recognition ability, multi-dimensional information of different aspects
and angles, better imaging capabilities of urban and other complex scenarios etc. By employing MIMO (Multiple inputs and multiple outputs) technique, these requirements may be achieved to a certain extent.
Inspired by recent advances in multiple-input multiple-output (MIMO) radar, this thesis develops a method of synthetic aperture radar imaging utilizing MIMO technique by exploring multiple transmitters and receivers antenna elements configuration. The images performance of the proposed method has been compared with conventional SAR through numerical simulation. Result shows the superiority of the MIMO-based SAR in high resolution imaging under the same system bandwidth.
關鍵字(中) ★ 合成孔徑雷達
★ 多輸入多輸出
關鍵字(英) ★ MIMO
★ SAR
論文目次 論文摘要 .......................................................i
Abstract ................................................ii
誌謝 .....................................................iii
目錄 ......................................................iv
圖目錄 ..................................................... vi
表目錄 ............................................... viii
Chapter 1 Introduction ................................................................................ 1
Radar and Synthetic 1.1 Aperture Radar ............................................ 1
1.2 SAR Principle................................................................................ 2
1.3 Technical Issues ............................................................................ 5
1.4 Organization of the Thesis .......................................................... 11
Chapter 2 Signal Model ............................................................................ 12
2.1 Linear Frequency Modulation ..................................................... 12
2.2 Signal Property ............................................................................ 16
2.3 Signal Orthogonal ....................................................................... 18
2.4 Echo Signal ..................................................19
Chapter 3 Image Processing ..............................................20
3.1 Flow chart of image processing ..............................................20
3.2 Signal Separation & Phase Collocation ...................................... 22
3.3 Range Compression .............................................24
3.4 Displaced Phase Center Antenna (DPCA)PProcessing ................ 27
3.5 and Azimuth Compression
…………………………………………………………………29
Chapter 4 Simulation Results ................................................ 32
4.1 Simulation Results .................................................32
4.2 Comparison with Conventional SAR.......................................... 65
Chapter 5 Conclusions and Outlooks ................................................67
5.1 Conclusions .............................................67
5.2 Outlooks ............................................... 68
Reference .............................................. 69
參考文獻 [1] F. T. Ulaby, R. K. Moore, and A. K. Fung, Microwave Remote
Sensing Active and Passive, vol. II, Artech House, 1986.
[2] A. Currie and M. A. Brown, “Wide-swath SAR,” Proc. Inst.
Elect.Eng.—F, Radar Signal Process., vol. 139, no. 2, pp. 122–135,
Apr. 1992.
[3] I. G. Cumming and F. H. Wong, Digital Processing of Synthetic
Aperture Radar Data: Algorithm and Implementation, Artech House,
Norwood, MA, 2005.
[4] F. T. Ulaby, R. K. Moore, and A. K. Fung, Microwave Remote
Sensing Active and Passive, vol. I, Artech House, 1981.
[5] G. Krieger, N. Gebert, and A. Moreira, “Unambiguous SAR signal
reconstruction from non-uniform displaced phase center sampling,”
IEEE Geosci. Remote Sens. Lett., vol. 1, no. 4, pp. 260–264, Oct.
2004
[6] J. L. Brown, “Multi-channel sampling of low-pass signals,” IEEE
Trans. Circuits Syst., vol. 28, no. 2, pp. 101–106, 1981.
[7] J. Li and P. Stoica, MIMO Radar Signal Processing. Hoboken,
NJ:Wiley, 2009.
[8] I. Bekkeman and J. Tabrikian, “Target detection and location using
MIMO radars and sonars,” IEEE Trans. Signal Process., vol. 54, no.
10,pp. 3873–3883, Oct. 2006.
[9] P. Friedlandler,“Waveform design for MIMO radars,” IEEE Trans.
Aerosp. Electron. Syst., vol. 43, no. 3, pp. 1227–1238, Jul. 2007.
[10] J. C. Curlander and R. N. McDonough, Synthetic Aperture Radar:
Systems and Signal Processing, New York: Wiley, 1991.
[11]M. Soumekh, Synthetic Aperture Radar Signal Processing with
MATLAB Algo-rithms, John Wiley & Sons, Inc., New York, NY,
1999.
指導教授 陳錕山(Kun-Shan Chen) 審核日期 2012-7-31
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