Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-24T23:24:34.213Z Has data issue: false hasContentIssue false
  • English
  • Français

Multi-sensor multi-target tracking based on range-Doppler measurement

Published online by Cambridge University Press:  01 April 2015

Aurora Baruzzi  and
Marco Martorella
Aurora Baruzzi*
Affiliation:
Radar Laboratory, Department of Information Engineering, University of Pisa, Pisa, Italy Fraunhofer Institute für Hochfrequenzphysik und Radartechnik FHR, Fraunhoferstr. 20, 53343 – Wachtberg, Germany. Phone: +49 (0)2289435-152
Marco Martorella
Affiliation:
Radar Laboratory, Department of Information Engineering, University of Pisa, Pisa, Italy CNIT, RaSS National Laboratory, Galleria G.B. Gerace N 18, 56124 – Pisa, Italy
*
Corresponding author: A. Baruzzi Email: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

In this paper, we present a method for multiple target two-dimensional tracking using multiple sensors with very low azimuth resolution. Due to the scarce azimuth resolution, the data association is performed using range and Doppler information only from four radars. The proposed algorithm is tailored to perform in maritime scenarios. In order to test the algorithm performance, sea clutter data have been taken under consideration when simulating data.

Keywords

Radar applicationsRadar signal processing and system modeling
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 8 , Issue 3: Journee Nationale des Micro-ondes (JNM) 2015 , May 2016 , pp. 615 - 622
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

[1]Challa, S.; Morelande, M.R.; Mušicki, D.; Evans, R.J.: Fundamentals of Object Tracking, Cambridge University Press, Cambridge, 2011.Google Scholar
[2]Blackman, S.; Popoli, R.: Design and Analysis of Modern Tracking Systems, Artech House Publishers, Norwood, MA, 1999.Google Scholar
[3]Baruzzi, A.; Pasculli, D.; Martorella, M.: Multi-Target/Multi-Sensor Tracking using Only Range and Doppler Measurements, IEEE, 2013.Google Scholar
[4]Bar-Shalom, Y.; Li, X.R.: Estimation and Tracking Principle, Techniques, and Software, Artech House, Norwood, MA, 1993.Google Scholar
[5]Bovik, A.: The Essential Guide to Image Processing, Elsevier, Burlington, 2009.Google Scholar
[6]Ristic, B.; Arulampalam, S.; Gordon, N.: Beyond the Kalman Filter: Particle Filters for Tracking Applications, Artech House, Radar Library, Hardcover, 2004.Google Scholar
[7]Deming, R.; Schindler, J.; Perlovsky, L.: Multi-target multi-sensor tracking using only range and Doppler measurements, IEEE Trans. on Aerospace and Electronic Syst., 45 (2) (2009), 593–611.Google Scholar
[8]Petri, D.; Moscardini, C.; Martorella, M.; Conti, M.; Capria, A.; Berizzi, F.: Performance analysis of the batches algorithm for range-Doppler map formation in Passive Bistatic Radar, IET Int. Radar Conf., 2012.Google Scholar
[9]Torres-Huitzil, C.; Cumplido-Parra, R.; López-Estrada, S.: Design and implementation of a CFAR processor for target detection, IEEE, 2009.Google Scholar
[10]Bar-Shalom, Y.; Li Kirubarajan, X.: Estimation with Applications to Tracking and Navigation, Wiley-Interscience, New York, 2001.Google Scholar
[11]Jankiraman, M.: Design of Multi-Frequency CW Radars, SciTech Publishing, Raleigh, NC, 2007.Google Scholar
[12]Xiaofei, L.; Xiaojian, X.: A statistical model for correlated K-distributed sea clutter, IEEE, Image and Signal Processing, 2008. CISP'08, 2008.Google Scholar
[13]Greco, M.S.; Watts, S.: Radar Clutter Modeling and Analysis, Theodoridis, S. and Chellappa, R. (eds), vol. 2, chap. 11, Academic Press Library in Signal Processing, Communications and Radar Signal Processing, Elsevier Ltd, Oxford, UK, 2013.Google Scholar
[14]Gregers-Hansen, V.; Mital, R.: An empirical sea clutter model for low grazing angles, IEEE, 2009.Google Scholar