跳到主要內容

臺灣博碩士論文加值系統

(18.97.14.81) 您好!臺灣時間:2025/01/15 04:22
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:周政南
研究生(外文):Cheng-Nan Chou
論文名稱:適應性濾波器效能分析之研究
論文名稱(外文):Research and Analysis of the Performance for An Adaptive Filter
指導教授:胡永柟胡永柟引用關係鍾翼能鍾翼能引用關係
指導教授(外文):Yu-Nan HuYi-Nung Chung
學位類別:碩士
校院名稱:大葉大學
系所名稱:電機工程研究所
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:2002
畢業學年度:90
語文別:中文
論文頁數:57
中文關鍵詞:雷達系統適應性濾波器效能分析
外文關鍵詞:Radar SystemAdaptive FilterPerformance Analysis
相關次數:
  • 被引用被引用:0
  • 點閱點閱:158
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
中文摘要
在雷達追蹤系統的研究方面,如何有效地掌握目標物的真實軌跡是雷達追蹤系統效能好壞的重要因素之一。在追蹤過程之中,測量目標物行進時,若掃瞄速率過快,會造成系統運算負荷過重,反之又將使誤差變大,因此如何掌握恰當的掃瞄速率,以及如何減少追蹤誤差是非常重要的。
雷達系統中,為達到最佳的追蹤效果,追蹤濾波器扮演著非常重要的角色;然而,為因應複雜的目標環境,並降低因目標突然變速或改變方向而造成的重大誤差,吾人乃設計一適應性濾波器,以取代傳統之濾波器,並利用MATLAB模擬分析其效能,期望利用此效能分析,了解其可靠度,並與傳統濾波器的結果相比較,以凸顯其優異性。

ABSTRACT
Target tracking is an essential requirement for surveillance systems employing one or more sensors together with computer subsystems, to interpret the environment. The objective of the tracking algorithm is to partition the sensor data into sets of observations produced by the same target. During this process, sensor observations obtained from the same target source are used to form target tracks. Once tracks are confirmed, the number of targets can be estimated and the targets, kinematic parameters can be computed.
For a radar system, in order to have more accurate tracking results, a tracking filter is necessary. However, the tracking environment is very complicated, such as the maneuvering situation, multiple targets, etc. In order to decrease the tracking error because of such situations, an adaptive tracking filter is investigated in this thesis. Moreover, a simulation allgorithm for some multiple target tracking examples is conducted by using MATLAB software. Therefore, the performance of this adaptive filter can be analyzed under many conditions.

目 錄
封面內頁
簽名頁
授權書......................................................iii
中文摘要.....................................................iv
英文摘要......................................................v
誌謝.........................................................vi
目錄........................................................vii
圖目錄.......................................................ix
表目錄........................................................x
第一章 緒論..................................................1
1.1 前言......................................................1
1.2 研究背景..................................................2
1.3 研究方法..................................................6
1.4 論文大綱..................................................7
第二章 雷達追蹤程序..........................................8
2.1 簡介......................................................8
2.2 雷達系統介紹..............................................8
2.3 雷達多目標追蹤程序.......................................13
第三章 最佳濾波器理論.......................................17
3.1 卡門濾波器...............................................17
3.2 擴展型卡門濾波器.........................................23
第四章 資料聯合技術.........................................27
4.1 Probabiltistic Data Association Theory...................27
4.2 Joint Probabilistic Data Association Theory..............30
4.3 1-step Maximum A Posteriori Estimate.....................32
第五章 目標變速度追蹤理論...................................35
5.1 目標變速狀態及偵測標準...................................35
5.2 適應性程序(Adaptive Procedare).........................36
第六章 電腦模擬.............................................39
6.1 模式定義.................................................39
6.2 模擬結果.................................................41
6.2.1 目標的初始條件和目標的變速度區間設定...................41
6.2.2 方式一的模擬結果.......................................44
6.2.3 方式二的模擬結果.......................................46
6.2.4 方式三的模擬結果.......................................48
6.2.5 方式四的模擬結果.......................................50
第七章 結論.................................................52
參考文獻.....................................................53
圖 目 錄
圖2.1 雷達系統基本架構方塊圖................................10
圖2.2 多目標追蹤示意圖......................................14
圖2.3 追蹤初始相互關係判別圖................................15
圖2.4 目標追蹤程序方塊圖....................................15
圖5.1 目標變速度示意圖......................................36
圖6.1(a) 方式一的模擬結果--目標追蹤軌跡圖...................44
圖6.1(b) 方式一的模擬結果--定速度追蹤T=1sec的誤差圖.........44
圖6.1(c) 方式一的模擬結果--定速度追蹤T=2sec的誤差圖.........45
圖6.1(d) 方式一的模擬結果--定速度追蹤T=3sec的誤差圖.........45
圖6.2(a) 方式二的模擬結果--目標追蹤軌跡圖...................46
圖6.2(b) 方式二的模擬結果--定速度追蹤T=1sec的誤差圖.........46
圖6.2(c) 方式二的模擬結果--定速度追蹤T=2sec的誤差圖.........47
圖6.2(d) 方式二的模擬結果--定速度追蹤T=3sec的誤差圖.........47
圖6.3(a) 方式三的模擬結果--目標追蹤軌跡圖...................48
圖6.3(b) 方式三的模擬結果--定速度追蹤T=1sec的誤差圖.........48
圖6.3(c) 方式三的模擬結果--定速度追蹤T=2sec的誤差圖.........49
圖6.3(d) 方式三的模擬結果--定速度追蹤T=3sec的誤差圖.........49
圖6.4(a) 方式四的模擬結果--目標追蹤軌跡圖...................50
圖6.4(b) 方式四的模擬結果--定速度追蹤T=1sec的誤差圖.........50
圖6.4(c) 方式四的模擬結果--定速度追蹤T=2sec的誤差圖.........51
圖6.4(d) 方式四的模擬結果--定速度追蹤T=3sec的誤差圖.........51
表 目 錄
表6.1 目標的初始條件........................................41
表6.2 目標的變速度區間設定..................................41
表6.3 一般的擴展型卡門濾波器估測系統追蹤結果................42
表6.4 適應性的擴展型卡門濾波器估測系統追蹤結果..............43

參考文獻
1. Anderson, B.D.O and J.B. Moore, Optimal filtering, Prentice-Hall, Englewood Cliffs, NJ(1979).
2. Bar-Shalom, Y. and T.E. Fortmann, Tracking and Data Association Press, San Diego, CA(1988).
3. Blackman, S.S., Multi-Target Tracking with Radar Applications, Artech-House, Norwood, MA(1986).
4. Bar-Shalom, Y. and Edision, T., "Sonar Tracking of Multiple Targets Using Joint Probabilistic Data Association", IEEE Journal of OceaningEngineering, Vol. OE-8, No 3 July 1983.
5. Bar-Shalom Y. and Fortmann, T.E., "Tracking and Data Association", Academic Press, INC.1989.
6. Bethel, R.E. & Paras, G.J., "A PDF Multisensor Tracker", IEEE Trans. Aerosp. Electron. Syst. Vol AES-34, pp153-169, 1998.
7. Chang, K.C. and Y. Bar-Shalom, "Joint Probabilistic Data Association for Multi-target Tracking with possibly Unresolved Measurements and Maneuvers," IEEE Trans.Automat. Contr., Vol. AC-29, No.7 pp. 585-594(1984).
8. Chang, C.B. and J.A. Tabaczynki, "Application of State Estimation to Target Tracking," IEEE Trans. Automat. Contr., Vol. AC-29, pp. 98-109 (1984).
9. Chung, Y. N., D.L.Gustafson and E.Emre, "Extended Solution to Multiple Maneuvering Target Tracking," IEEE Trans. Aerosp. Electron. Syst., Vol.26,No. 5, pp. 876-887 (1990).
10.Chang, K.C., Chong, C.Y., and Bar-Shalom, Y., "Joint Probabilistic Dataand Association Distributed Sensor Networks," IEEE Trans. Auto-ma. Contr., Vol. AC-31, pp889-897, Oct. 1986.
11.Chang, C.B. and Tabaczynski, J.A., "Application of State Estimation to Target Tracking", IEEE Trans. Vol. AC-29, No 2, Feber. 1984.
12.Chung, Y.N. and Gustafson, D.L., and E. Emre, "Extended Solution to Multiple Maneuvering Target Tracking", IEEE Trans. Aerosp Electron. Syst. Vol AES-25, pp876-887, 1990.
13.Conte, E., Lops, M., and Ricci, G., "Adaptive Detection Schemes in Compound-Gaussian Clutter", IEEE Trans. Aerosp. Electron. Syst. Vol. AES-34, pp1058-1069, 1998.
14.Emre, E., and Seo, J., "A Unifying Approach to Multi-Target Tracking", IEEE Trans. Aerosp. Electron. Syst., Vol Aes-25, pp520-528, 1989.
15.Farian, A. and F.A. Studer, Radar Data Processing, Vol. 1-Introduction and Tracking,Research Studies Press, England (1985).
16.Hanlon, P.D. and Maybeck, P.S., "Interrelation Ship of Single-Filter and Multiple-Model Adaptive Algorithms", IEEE Trans. Aerosp. Electron. Syst. Vol. AES-34, pp934-946, 1998.
17.Kershaw, D.J. & Evans, R.J., "Waveform Selective Probabilistic Data Association", IEEE Trans. Aerosp. Electron. Syst. Vol AES-33, pp1180-1189, 1997.
18.Lin, C.F., Modern Navigation Guidance, and Control Processing, Prentice-Hall,Englawood Cliffs, NJ (1991).
19.Lefferts, R.E., "Adaptive Correlation Regions for Alpha-Beta Tracking Filters", IEEE Trans. Areosp. Electron. System, Vol AES-17, pp-738-747, Nov. 1981.
20.Lee, H. & Tahk, I-J, "Generalized Input-Estimation Technique for Tracking Maneuvering Targets", IEEE Trans. Aerosp. Electron. Syst. Vol AES-35, pp1388-1403, 1999.
21.Mehrotra, K. & Mahapatra, P.R., "A Jerk Model for Tracking Highly Maneuvering Targets", IEEE Trans. Aerosp. Electron. Syst. Vol AES-33, pp1094-1106, 1997.
22.Mazor, E., Dayan, J., Averbuch, A. & Bar-Shalom, Y., "Interacting Multiple Model Methods in Target Tracking: A Survey", IEEE Trans. Aerosp. Electron. Syst. Vol AES-34, pp103-124, 1998.
23.Popp, R.L., Pattipat, K.R.i, Bar-Shalom, Y. & Ysddanapudi, M., "Parallelization of a Multiple Tracking Algorithm with Superlinear Speedups", IEEE Trans. Aerosp. Electron. Syst. Vol AES-33, pp281-290, 1997.
24.Park, S-T & Lee, J.G., "Design of a Practical Tracking Algorithm with Radar Measurements", IEEE Trans. Aerosp. Electron. Syst. Vol AES-34, pp1337-1345, 1998.
25.Roecker, J.A. and C.D. McGillem, "Target Tracking in Maneuver Centered Coordinates,"IEEE Trans. Aerosp. Electron. Syst., Vol. 25, No.6 pp. 836- 843 (1989).
26.Singer, R.A., "Esitmating Optimal Tracking Filter Performance for Manned Maneuvering Targets," IEEE Trans. Aerosp. Electron. Syst., Vol. AES-5, pp. 473-483 (1970).
27.Singer, R.A. and K.W. Behnke, "Real -Time Tracking Filtering Evaluation and Selection for Tactical Applications," IEEE Trans. Aerosp. Electron. Syst., Vol. AES-7,No.1, pp.100-110 (1982).
28.Stein, J.J and Blackman, S.S, "Generalized Correlation of Multi-Target Track Data", IEEE Trans. Areosp. Electron. System, Vol. AES-11, pp1207-1217, Nov. 1975.
29.Swerling, P., "Radar Probability of Detection for Some Additional Fluctuating Target Cases", IEEE Trans. Aerosp. Electron. Syst. Vol AES-33, pp698-709, 1997.
30.Smith, P., and Buechler, G., "A Branching Algorithm for Discriminating and Tracking Multiple Objects", IEEE Transactions on Automatic Control. AC-20 Feb.1975, pp101-104.
31.Tugnait, J.K., "Detection and Estimation for Abruptly Changing Systems," Automatic, Vol.18, No 5, pp. 607-615 (1978).
32.Van Keuk, G., "Software Structure and Sampling Strategy for Automatic Target Tracking with a Phase Array Radar," AGARD Conf., Proc. No.252, Strategies for Automatic Track Initiation, Monterey CA., pp. 11-1 to 11-13(1978).
33.Wang, T.C. and P.K. Varshney, "A Tracking Algorithm Maneuvering Targets," IEEE Trans. Aerosp. Electron. Syst., Vol. 29 , No. 3 pp.910-925(1993).

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top