Volume 14, Issue 4 (Journal of Control, V.14, N.4 Winter 2021)                   JoC 2021, 14(4): 1-12 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Jalalipoor A, Kardehi Moghaddam R. Decentralized and Cooperative Multi-Sensor Multi-Target Tracking With Asynchronous Bearing Measurements. JoC 2021; 14 (4) :1-12
URL: http://joc.kntu.ac.ir/article-1-676-en.html
Decentralized and Cooperative Multi-Sensor Multi-Target Tracking With Asynchronous Bearing Measurements
Alireza Jalalipoor1 , Reihaneh Kardehi Moghaddam * 1
1- Azad University of Mashhad
Abstract:   (5142 Views)
Bearings only tracking is a challenging issue with many applications in military and commercial areas. In distributed multi-sensor multi-target bearings only tracking, sensors are far from each other, but are exchanging data using telecommunication equipment. In addition to the general benefits of distributed systems, this tracking system has another important advantage: if the sensors are sufficiently spaced apart, the target state is observable and the maneuver is not necessary by sensors. In this work, Multi-sensor multi-target bearings only tracking with decentralized architecture and asynchronous measurements is newly proposed. In this study, with the help of the idea of ​​composite measurements and taking into account the time of measurements in the calculations, while overcoming the asynchronous of the measurements, the nonlinear effects in the measurement equation are also eliminated. Also, diffusive filtering is used to exploit the information of neighboring sensor agents to improve the estimates. The simulations show that the system designed in this research can well detect targets and track them with acceptable accuracy.
Keywords: Bearings-only Tracking, Multi-Agent Systems, Decentralized Systems, Cooperative Control, Diffusive Filters
Full-Text [PDF 934 kb]   (1228 Downloads)    
Type of Article: Research paper | Subject: Special
Received: 2019/06/1 | Accepted: 2020/04/18 | ePublished ahead of print: 2020/06/27 | Published: 2021/02/19
References
1. [1] Stansfield R. G., 1947, "Statistical theory of DF fixing," J. Inst. Electr. Eng. IIIA Radiocommun., vol. 94, no. 15, pp. 762-770. [DOI:10.1049/ji-3a-2.1947.0096]
2. [2] Taghavi E., Tharmarasa R., Kirubarajan T. and McDonald M., 2016, "Multisensor-multitarget bearing-only sensor registration," IEEE Trans. Aerosp. Electron. Syst., vol. 52, no. 4, pp. 1654-1666. [DOI:10.1109/TAES.2016.150471]
3. [3] Mohammadi A. and Asif A., 2015, "Distributed consensus + Innovation particle filtering for bearing/range tracking with communication constraints," IEEE Trans. Signal Process., vol. 63, no. 3, pp. 620-635. [DOI:10.1109/TSP.2014.2367468]
4. [4] Ferdowsi M. H., Maralani P. J. and Sedigh A. K., 2004, "Design of bearing-only vision-based tracking filters," Opt. Eng., vol. 43, no. 2, pp. 472-481. [DOI:10.1117/1.1637906]
5. [5] Sadhu S., Mondal S., Srinivasan M. and Ghoshal T. K., 2006, "Sigma point Kalman filter for bearing only tracking," Signal Processing, vol. 86, no. 12, pp. 3769-3777. [DOI:10.1016/j.sigpro.2006.03.006]
6. [6] Ristic Branko, Arulampalam Sanjeev and Gordon Neil, Beyond the Kalman filter: Particle filters for tracking applications. Artech house, 2003.
7. [7] Sabet M. T., Fathi A. R. and Mohammadi Daniali H. R. , 2016, "Optimal design of the Own Ship maneuver in the bearing-only target motion analysis problem using a heuristically supervised Extended Kalman Filter," Ocean Eng., vol. 123, pp. 146-153. [DOI:10.1016/j.oceaneng.2016.07.028]
8. [8] Nardone S. and Lindgren A., 1984, "Fundamental properties and performance of conventional bearings-only target motion analysis," IEEE Trans. Automat. Contr., vol. 29, no. 9, pp. 775-787. [DOI:10.1109/TAC.1984.1103664]
9. [9] Oshman Y. and Davidson P., 1999, "Optimization of observer trajectories for bearings-only target localization," IEEE Trans. Aerosp. Electron. Syst., vol. 35, no. 3, pp. 892-902. [DOI:10.1109/7.784059]
10. [10] Chen X., Tharmarasa R. and Kirubarajan T., 2014, "Multitarget Multisensor Tracking," in Academic Press Library in Signal Processing: Volume 2 Communications and Radar Signal Processing, vol. 2, Elsevier Masson SAS, pp. 759-812. [DOI:10.1016/B978-0-12-396500-4.00015-6]
11. [11] Musicki D., 2008, "Multi-target tracking using multiple passive bearings-only asynchronous sensors," IEEE Trans. Aerosp. Electron. Syst., vol. 44, no. 3, pp. 1151-1160. [DOI:10.1109/TAES.2008.4655370]
12. [12] Sathyan T. and Sinha A., 2011, "A two-stage assignment-based algorithm for asynchronous multisensor bearings-only tracking," IEEE Trans. Aerosp. Electron. Syst., vol. 47, no. 3, pp. 2153-2168. [DOI:10.1109/TAES.2011.5937289]
13. [13] Sayed A. H., 2014, "Adaptive networks," Proc. IEEE, vol. 102, no. 4, pp. 460-497. [DOI:10.1109/JPROC.2014.2306253]
14. [14] Dias S. S. and Bruno M. G. S., 2013, "Cooperative Target Tracking Using Decentralized Particle Filtering and RSS Sensors," IEEE Trans. Signal Process., vol. 61, no. 14, pp. 3632-3646. [DOI:10.1109/TSP.2013.2262276]
15. [15] Olfati-Saber R., Fax J. A. and Murray R. M., 2007, "Consensus and cooperation in networked multi-agent systems," Proc. IEEE, vol. 95, no. 1, pp. 215-233. [DOI:10.1109/JPROC.2006.887293]
16. [16] Zhou Y., Wang D. and Li J., 2014, "Consensus 3-D bearings-only tracking in switching senor networks," Signal Processing, vol. 105, pp. 148-155. [DOI:10.1016/j.sigpro.2014.05.024]
17. [17] Mohammad A. and Asif A., 2016, "Diffusive particle filtering for distributed multisensor estimation," ICASSP, IEEE Int. Conf. Acoust. Speech Signal Process. - Proc., vol. 2016-May, no. 504310, pp. 3801-3805. [DOI:10.1109/ICASSP.2016.7472388]
18. [18] Tu S. Y. and Sayed A. H., 2012, "Diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks," IEEE Trans. Signal Process., vol. 60, no. 12, pp. 6217-6234. [DOI:10.1109/TSP.2012.2217338]
19. [19] Klein I. and Bar-Shalom Y., 2016, "Tracking with asynchronous passive multisensor systems," IEEE Trans. Aerosp. Electron. Syst., vol. 52, no. 4, pp. 1769-1776. [DOI:10.1109/TAES.2016.150099]
20. [20] Osborne R. W. and Bar-Shalom Y., 2013, "Statistical efficiency of composite position measurements from passive sensors," IEEE Trans. Aerosp. Electron. Syst., vol. 49, no. 4, pp. 2799-2806. [DOI:10.1109/TAES.2013.6621855]
21. [21] Osborne R. W., 2015, "Fusion of Asynchronous Passive Measurements," J. Adv. Inf. FUSION, vol. 10, no. 2, pp. 199-210.
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Control

Designed & Developed by : Yektaweb