Modeling and fusion of radar and imaging sensor data for target tracking

Optical Engineering

Volumn 35, Issue 3, 1996, Pages 659-673

  Romine, Jay Brent ^a   Kamen, Edward W ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Data fusion; Estimation; Imaging sensors; Measurement models; Radar; Sensor fusion; Target tracking

Indexed keywords

EID: 0001201272     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.600658     Document Type: Article

References (21)

1. T. Johnson, "Phalanx EO automatic acquisition and tracking of IR targets with IMMPDAF," in Surveillance, Tracking and Fusion: Algorithms and Real Data Applications Lecture Notes, Y. Bar-Shalom (Coordinator), Department of Engineering, Information Systems and Technical Management short course program, University of California, Los Angeles, University Extension, (1994).
2. H. Shertukde and Y. Bar-Shalom, "Precision tracking of small extended targets with Imaging Sensors," in Multi-Target Multi-sensor Trucking: Advanced Applications, Vol. 2, pp. 111-148, Artech House, Norwood, MA (1992).
3. R. Enders, and J. Shapiro, "Laser radar tracking theory," in Laser Radar III, Proc. SPIE 999, 192-207 (1988).
4. R. Enders, "Laser Radar Tracking Theory: Track-while-Image Operation," PhD dissertation, Massachusetts Institute of Technology, Cambridge, MA (1989).
5. D. VanRheeden and R. Jones, "Noise effects on centroid tracker aim point estimation," IEEE Trans. Aerospace Electronic Systems AES-24(2), 177-185 (Mar. 1988).
6. P. Maybeck, R. Jensen, and D. Harnly, "An adaptive extended Kalman filter for target image tracking," IEEE Trans. Aerospace Electronic Systems AES-17, 173-180 (Mar. 1981).
7. S. Shetty and A. Alouani, "Image-sensor-based target maneuver detection," Opt. Eng. 32(11), 2735-2740 (Nov. 1993).
8. S. Shetty and A. Alouani, "Performance of an image-based maneuver detector," Proc. 33rd Conference on Decision and Control, pp. 3259-3264 (Dec. 1994).
9. A. Papoulis, Probability, Random Variables, and Stochastic Processes, 3rd ed., McGraw-Hill, New York (1991).
10. A. Houles and Y. Bar-Shalom, "Multisensor tracking of a maneuvering target in clutter," IEEE Trans. Aerospace Electronic Systems AES-25(2), 176-189 (Mar. 1989).
11. G. Watson and W. Blair, "Tracking maneuvering targets with multiple sensors using the interacting multiple model algorithm," Proc. SPIE 1954, 438-449 (1993).
12. R. Ostrovityanov and F. Basalov, Statistical Theory of Extended Radar Targels, translated by W. Barton and D, Barton, Artech House, Norwood, MA (1985).
13. S. Ross, A First Course in Probability, 3rd ed., Macmillan, New York (1988).
14. B. Borden, "Requirements for optimal glint reduction by diversity methods," IEEE Trans. Aerospace Electronic Systems AES-30(4), 1108-1114 (1994).
15. E. Daeipour and Y. Bar-Shalom, "An interacting multiple model approach for target tracking with glint noise," IEEE Trans. Aerospace Electronic Systems AES-31(2), 706-715 (Apr. 1995).
16. G. Hewer, R. Martin, and J. Zeh, "Robust processing for Kalman filtering of glint noise," IEEE Trans. Aerospace Electronic Systems AES-23, 120-128 (1987).
17. D. Barton, Modern Radar Systems, Artech House, Norwood, MA (1988).
18. D. Willner, C. Chang, and K. Dunn, "Kalman filter configurations for multiple radar systems," MIT Lincoln Lab Technical No. 1876-21, (Apr. 14, 1976).
19. J. Romine, E. Kamen, and C. Sastry, "Fusion of radar and imaging sensor data for target tracking," in Signal and Data Processing of Small Targets, Proc. SPIE 2235, 558-569 (1994).
20. J. Romine, "Fusion of radar and imaging sensor data for target tracking," PhD dissertation, Georgia Institute of Technology, Atlanta (1995).
21. P. Maybeck, T. Herrera, and R. Evans, "Target tracking using infrared measurements and laser illumination," IEEE Trans. Aerospace Electronic Systems AES-30(3), 758-768 (July 1994).