請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/28366完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 江簡富(Jean-Fu Kiang) | |
| dc.contributor.author | Po-Jen Tu | en |
| dc.contributor.author | 杜博仁 | zh_TW |
| dc.date.accessioned | 2021-06-13T00:06:14Z | - |
| dc.date.available | 2010-07-30 | |
| dc.date.copyright | 2007-07-30 | |
| dc.date.issued | 2007 | |
| dc.date.submitted | 2007-07-30 | |
| dc.identifier.citation | [1] F. Florian and H. Rohling, “Signal processing structure for automotive radar,” Frequenz,
pp.20-23, 2006. [2] J. Wenger, “Automotive radar-status and perspectives,” IEEE Compound Semiconductor Integ. Circuit Symp., pp.21-24, Oct. 2005. [3] http://europa.eu.int/comm/energy transport/library/lb texte complet en.pdf. [4] “The commissions intelligent car flagship under the i2010 initiative,” http://europa.eu/rapid/pressReleasesAction.do?reference=MEMO/06/86 &format=HTML&aged=1&language =EN&guiLanguage=fr. [5] Mobileye, “Accident prevention and accident mitigation,” http:// www.mobileyevision. com/Publications/AWS.EffectivenessReport.pdf. [6] J. L. Couhat, B. Prozelin, and A. D. Baker, Combat Fleet of the World, Naval Institute Press, Annapolis, Maryland, USA, 1995. [7] L. W. Fong, J. S. Dai, and C. C. Liu, “Analysis and design of shipboard defense missile system via statistical error approach,” Int. Conf. Ind. Electron. Control Instru., vo.1 pp.132-137, Nov. 1997. [8] H. Cheng, N. Zheng, X. Zhang, J. Qin, and H. van de Wetering, “Interactive road situstion analysis for driver assistance and safety warning systems: framework and algorithm,” IEEE Trans. Intell. Transp. Syst., vol.8, no.1, pp.157-167, Mar. 2007. [9] M. Klotz, “An automotive short range high resolution pulse radar network,,” Ph.D. thsis, Technische Universitat Hamburg-Harburg, 2002. [10] P. Mookerjee and F. Reifler, “Reduced state estimators for consistent tracking of maneuvering targets,” IEEE Trans. Aero. Electron. Syst., vol.41, no.2, pp.608-619, April 2005. [11] C. S. Heish and F. C. Chen, “General two-stage Kalman filters,” IEEE Trans. Auto. Control, vol.45, no.4, pp.819-824, Apr. 2000. [12] P. Gurfil, “Two-step optimal estimator for three dimensional target tracking, IEEE Trans. Aero. Electron. Syst., vol.41, no.3, pp.780-793, July 2005. [13] Y. N. Chung, D. L. Gustafson, and E. Emer,“Extended solution to multiple maneuvering target tracking,” IEEE Trans. Aero. Electron. Syst., vol.26, no.5, pp.876-887, Sept. 1990. [14] H. Rohling and M. M. Meinecke, “Waveform design principles for automotive radar systems,” IEEE Radar, pp.1-4, Oct. 2001. [15] S. Haykin, Adaptive Filter Theory, fourth Ed. Prentice Hall, 2002. [16] J. V. Kleff, J. Bergmans, and L. Kester, “Multiple-hypothesis trilateration and tracking with distributed radars,” http://staff.science.uva.nl/ jvanklee/ Publications/data/174.pdf. [17] D. C. Schleher, MTI and Pulse Doppler Radar, Ed. Artech House, 1991. [18] M. B. Ignagni, “An alternate derivation and extension of friendlands two-stage Kalman estimator,” IEEE Trans. Auto. Control, vol.26, no.3, pp.746-750, June 1981. [19] F. Folster, H. Rohling, and U. Lubbert “An automotive radar network based on 77 GHz FMCW sensors,”IEEE Int. Conf. Radar, pp.871-876, May. 2005. [20] Wikipedia, http://en.wikipedia.org/wiki/Nimitz class aircraft carrier. [21] P. S. Maybeck and J. E. Negro “ Enhanced fire control system filtering via refined airto- air missile acceleration modeling,” IEEE Decision Control Symp. Adaptive Process, vol.17, Part 1, pp.80-87, Jan. 1978. [22] T. J. Abatzoglou and G. O. Gheen, “Range, radial velocity, and acceleration MLE using radar LFM pulse train,” IEEE Trans. Aero. Electron. Syst., vol.34, no.4, pp.1070-1083, Oct. 1998. [23] “AGM-86 air-launched cruise missile [ALCM],” http://www.fas.org/ nuke/guide/usa/bomber/alcm.htm. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/28366 | - |
| dc.description.abstract | 汽車雷達主要用在提升行車的舒適與安全性。可適性恆速裝置、停車輔助系統、碰撞避免以及碰撞預測，都取決於座標、速度和加速度的準確估算。我們提出一個新方法，從FMCW的反射訊號估計座標、速度和加速度。Minimum-delay one-stage Kalman filters被用來準確估計加速度，最後我們採用汽車轉彎的例子做驗證。
我們另推導出一套，combination of two-stage and one stage Kalman filters，用來估計加速度，並用於船艦，估算近距離的飛彈位置。 | zh_TW |
| dc.description.abstract | Automotive radar sensors have been used to ensure comfort and safety. Adaptive cruise control (ACC), parking aid, collision avoidance, and pre-crash detection are applications pending on the accurate estimation of target location, velocity and acceleration. A new process by taking the measured FMCW echoes to estimate the range, velocity and acceleration of the moving target. Minimum-delay one-stage Kalman filters are proposed to calculate the acceleration accurately. Demonstration is given with a vehicle making a turn across the adjacent lane in front of the host vehicle.
We also propose a new process by taking the measured FMCW echoes to estimate the range and velocity of a moving target. Combination of two-stage and one-stage Kalman filters are proposed to estimate the acceleration accurately. Demonstration is given with a missile making a turn to attack a ship. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T00:06:14Z (GMT). No. of bitstreams: 1 ntu-96-R94942069-1.pdf: 2269961 bytes, checksum: 27c2142b7fcb5d5fc5f3aad96b8a5786 (MD5) Previous issue date: 2007 | en |
| dc.description.tableofcontents | Abstract.............................................i
Table of Contents..................................iii List of Figures......................................v List of Tables......................................vi Acknowledgment.....................................vii 1 Introduction....................................viii 2 Collision-Avoidance Algorithm with High Precision on Location, Velocity and Acceleration..................1 2.1 Introduction ....................................1 2.2 Problem Description .............................2 2.3 Detection Procedures.............................6 2.3.1 Hybrid FSK and LFM ............................7 2.3.2 First One-Stage Kalman Filter.................10 2.3.3 Trilateration.................................11 2.3.4 Second One-Stage Kalman Filter................12 2.4 Results and Discussions.........................13 3 Effective Algorithm to Detect Anti-ship Missile with High Precision on Location, Velocity and Acceleration ................23 3.1 Introduction....................................23 3.2 Problem Description ............................25 3.3 Detection Procedures............................26 3.3.1 Hybrid FSK and LFM............................26 3.3.2 Two-Stage Kalman Filter.......................29 3.3.3 Trilateration.................................31 3.3.4 One-Stage Kalman Filter.......................32 3.4 Results and Discussions.........................34 4 Conclusion........................................44 | |
| dc.language.iso | en | |
| dc.title | 偵測距離、速度和加速度的高效能演算法 | zh_TW |
| dc.title | Effective Algorithm for Target Detection with High Precission on Location, Velocity and Acceleration | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 95-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 馮蟻剛(I-Kong Fong),傅立成(Li-Chen Fu),連豊力(Feng-Li Lian) | |
| dc.subject.keyword | 加速度量測, | zh_TW |
| dc.subject.keyword | Acceleration measurement, | en |
| dc.relation.page | 48 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2007-07-30 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-96-1.pdf 目前未授權公開取用 | 2.22 MB | Adobe PDF |
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