Target tracking performance evaluation - A general software environment for filtering

IEEE Aerospace Conference Proceedings

Volumn , Issue , 2007, Pages

  Hendeby, Gustaf ^a   Karlsson, Rickard ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; NONLINEAR SYSTEMS; OBJECT ORIENTED PROGRAMMING; PROBLEM SOLVING; SOFTWARE ENGINEERING; TARGET TRACKING;

OBJECT ORIENTED FILTERING; SOFTWARE ENVIRONMENTS;

SIGNAL FILTERING AND PREDICTION;

EID: 34548790102     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2007.353044     Document Type: Conference Paper

References (50)

1. A. H. Jazwinski, Stochastic Processes and Filtering Theory, vol. 64 of Mathematics in Science and Engineering, Academic Press, Inc, 1970.
2. B. D. O. Anderson and J. B. Moore, Optimal Filtering, Prentice-Hall, Inc, Englewood Cliffs, NJ, 1979.
3. T. Kailath, A. H. Sayed, and B. Hassibi, Linear Estimation, Prentice-Hall, Inc, 2000.
4. H. W. Sorenson and D. L. Alspach, "Recursive Bayesian estimation using Gaussian sums," Automatica, vol. 7, no. 4, pp. 465-479, July 1971.
5. N. J. Gordon, D. J. Salmond, and A. F. M. Smith, "Novel approach to nonlinear/non-Gausian Bayesian state estimation," IEE Proc.-F, vol. 140, no. 2, pp. 107-113, Apr. 1993.
6. A. Doucet, N. de Freitas, and N. Gordon, Eds., Sequential Monte Carlo Methods in Practice, Statistics for Engineering and Information Science. Springer-Verlag, New York, 2001.
7. B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter: Particle Filters for Tracking Applications, Artech House, Inc, 2004.
8. G. Hendeby, R. Karlsson, F. Gustafsson, and N. Gordon, "Performance issues in non-Gaussian filtering problems," in Proc. Nonlinear Statistical Signal Processing Workshop, Cambridge, UK, Sept. 2006.
9. B. Stroustrup, The C++ Programming Language, Addison-Wesley, 3 edition, 1997.
10. R. Karlsson and F. Gustafsson, "Bayesian surface and under-water navigation," IEEE Trans. Signal Processing, vol. 54, no. 11, pp. 4204-4213, Nov. 2006.
11. R. Karlsson and M. Norrlöf, "Position estimation and modeling of a flexible industrial robot," in Proc. 16th Triennial IFAC World Congress, Prague, Czech Republic, July 2005.
12. R. Karlsson, D. Törnqvist, A. Hansson, and S. Gunnarsson, "Automatic control project course: A positioning and control application for an unmanned aerial vehicle," World Trans. Eng. and Tech. Edu., vol. 5, no. 2, pp. 291-294, 2006.
13. R. Karlsson, J. Jansson, and F. Gustafsson, "Model-based statistical tracking and decision making for collision avoidance application," in Proc. American Contr. Conf, Boston, MA, USA, July 2004, pp. 3435-3440.
14. R. Karlsson and F. Gustafsson, "Recursive Bayesian estimation: bearings-only applications," IEE Proc.-Radar Sonar Navig., vol. 152, no. 5, pp. 305-313, Oct. 2005.
15. G. Hendeby, R. Karlsson, F. Gustafsson, and N. Gordon, "Recursive triangulation using bearings-only sensors," in Proc. IEE TARGET, Birmingham, UK, Mar. 2006.
16. Y. Boers, H. Driessen, J. Torstensson, M. Trieb, R. Karlsson, and F. Gustafsson, "Track-before-detect algorithm for tracking extended targets," IEE Proc.-Radar Sonar Navig., vol. 153, no. 4, pp. 345-351, Aug. 2006.
17. R. E. Kalman, "A new approach to linear filtering and prediction problems," Trans. ASME, vol. 82, no. Series D, pp. 35-45, Mar. 1960.
18. H. W. Sorenson, "Recursive estimation for nonlinear dynamic systems," in Bayesian Analysis of Time Series and Dynamic Models, J. C. Spall, Ed., pp. 126-165. Marcel Dekker, Inc, New York, NY, USA, 1988.
19. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," IEEE Trans. Signal Processing, vol. 50, no. 2, pp. 174-188, Feb. 2002.
20. F. Gustafsson, Adaptive Filtering and Change Detection, John Wiley & Sons, Ltd, Chichester, West Sussex, England, 2000.
21. S. C. Kramer and H. W. Sorenson, "Bayesian parameter estimation," IEEE Trans. Automat. Contr., vol. 33, no. 2, pp. 217-222, Feb. 1988.
22. H. Tanizaki, "Nonlinear and nonnormal filters using Monte Carlo methods," Comput. Stat. & Data Analysis, vol. 25, pp. 417-439, 1997.
23. N. Bergman, Recursive Bayesian Estimation: Navigation and Tracking Applications, Dissertations no 579, Linköping Studies in Science and Technology, SE-581 83 Linköping, Sweden, May 1999.
24. F. Gustafsson, F. Gunnarson, N. Bergman, U. Forssell, J. Jansson, R. Karlsson, and P.-J. Nordlund, "Particle filters for positioning, navigation, and tracking," IEEE Trans. Signal Processing, vol. 50, no. 2, pp. 425-437, Feb. 2002.
25. A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Statistics and Computing, vol. 10, pp. 197-208, 2000.
26. T. Schön, F. Gustafsson, and N. Per-Johan, "Marginalized particle filters for mixed linear / nonlinear state-space models," IEEE Trans. Signal Processing, vol. 53, no. 7, pp. 2279-2289, July 2005.
27. M. K. Pitt and N. Shephard, "Filtering via simulation: Auxiliary particle filters," JASA, vol. 94, no. 446, pp. 590-599, June 1999.
28. J. Miguez, M. F. Bugallo, and P. M. Djurić, "A new class of particle filters for random dynamic systems with unknown statistics," J. Appl. Signal Proc., vol. 15, pp. 2278-2294, 2004.
29. S. Godsill and J. Vermaak, "Models and algorithms for tracking using trans-dimensional sequence sequential Monte Carlo," in Proc. IEEE Int. Conf. on Acoust., Speech, Signal Processing, Montreal, Canada, May 2004, pp. 976-979.
30. J. H. Kotecha and P. M. Djurić, "Gaussian sum particle filtering," IEEE Trans. Signal Processing, vol. 51, no. 10, pp. 2602-2612, Oct. 2003.
31. H. A. P. Blom and Y. Bar-Shalom, "The interacting multiple model algorithm for systems with Markovian switching coefficients," IEEE Trans. Automat. Contr., vol. 33, no. 8, pp. 780-783, Aug. 1988.
32. H. A. P. Blom, "An efficient filter for abruptly changing systems," in Proc. 23rd IEEE Conf. Decis. and Contr, Las Vegas, NV, USA, Dec. 1984, pp. 656-658.
33. Y. Bar-Shalom and X. R. Li, Estimation and Tracking: Principles, Techniques, and Software, Artech House, Inc, 1993.
34. H. Cramér, Mathematical Methods of Statistics, Princeton University Press, Princeton, NJ, USA, 1946.
35. S. M. Kay, Fundamentals of Statistical Signal Processing: Estimation Theory, vol. 1, Prentice-Hall, Inc, 1993.
36. E. L. Lehmann, Theory of Point Estimation, Probability and Mathematical Statistics. John Wiley & Sons, Ltd, 1983.
37. S. Kullback, J. C. Keegel, and J. H. Kullback, Topics in Statistical Information Theory, vol. 42 of Lecture Notes in Statistics, Springer-Verlag, 1987.
38. S. Kullback and R. A. Leibler, "On information and sufficiency," Ann. Math. Statist., vol. 22, no. 1, pp. 79-86, Mar. 1951.
39. C. Arndt, Information Measures, Springer-Verlag, 2001.
40. S. Gibson and B. Ninness, "Robust maximum-likelihood estimation of multivariable dynamic systems," Automatica, vol. 41, pp. 1667-1682, 2005.
41. J. Bröcker, "On comparing nonlinear filtering algorithms," in Proc. 2005 Int. Symp. Nonlin. Theory App., Bruges, Belgium, Oct. 2005.
42. G. E. P. Box and G. C. Tao, Bayesian Inference in Statistical Analysis, Addison-Wesley, 1973.
43. The MathWorks, MATLAB The Language of Technical Computing. Version 7, 2006.
44. P. A. Fritzson, Principles of Object-Oriented Modeling and Simulation with Modelica 2.1, IEEE Press, Piscataway, NJ, USA, 2004.
45. A. Alexandrescu, Modern C++ Design. Generic Programming and Design Patterns Applied, Addison-Wesley, 2001.
46. J. Rosén, "A framework for nonlinear filtering in MATLAB," Master's thesis no LiTH-ISY-EX-05/3733-SE, Dept. Electr. Eng, Linköpings universitet, Sweden, Oct. 2005.
47. E. Anderson, Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, A. McKenney, and D. Sorensen, LAPACK Users' Guide, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 3. edition, 1999.
48. M. Galassi, J. Davies, J. Theiler, B. Gough, G. Jungman, M. Booth, and F. Rossi, GNU Scientific Library, 1.8 edition, Mar. 2006, For GSL version 1.8.
49. W. D. Blair, G. A. Watson, T. Kirubarajan, and Y. Bar-Shalom, "Benchmark for radar allocation and tracking in ECM," IEEE Trans. Aerosp. Electron. Syst., vol. 34, no. 4, pp. 1097-1114, Oct. 1998.
50. G. Kitagawa, "Non-Gaussian state-space modeling of nonstationary time series," JASA, vol. 82, no. 400, pp. 1032-1041, Dec. 1987.