Analysis of Target Location Estimation in High Performance Radar System
In this paper, an analysis of a target location estimation
system using the best linear unbiased estimator (BLUE) for high
performance radar systems is presented. In synthetic environments,
we are here concerned with three key elements of radar system
modeling, which makes radar systems operates accurately in strategic
situation in virtual ground. Radar Cross Section (RCS) modeling
is used to determine the actual amount of electromagnetic waves
that are reflected from a tactical object. Pattern Propagation Factor
(PPF) is an attenuation coefficient of the radar equation that contains
the reflection from the surface of the earth, the diffraction, the
refraction and scattering by the atmospheric environment. Clutter is
the unwanted echoes of electronic systems. For the data fusion of
output results from radar detection in synthetic environment, BLUE
is used and compared with the mean values of each simulation results.
Simulation results demonstrate the performance of the radar system.
[1] D. L. Hall and J. Llinas, "An introduction to multisensor data fusion,"
Proceedings of the IEEE, vol. 85, no. 1, pp. 6-23, January 1997.
[2] D. C. Hogg, "Path diversity in propagation of millimeter waves through
rain," IEEE Trans. Antennas Propagat., vol. AP-15, pp. 410-415, May
1967.
[3] Z.-W. Zhao, M.-G. Zhang, and Z.-S. Wu, "An analytic model of specific
attenuation due to rain," Infrared and Milimeter Waves, 2000, Conference
Digest, 2000 25th International Conference on., pp.471-472, 2000.
[4] H. Qi, X. Wang, S.S. Iyengar, and K. Chakrabarty, "Multisensor data
fusion in distributed sensor networks using mobile agents," Proceedings
of Information Fusion, 2001.
[5] Merrill I. Skolnik, Radar Handbook, 3rd ed., McGraw-Hill, 2008.
[6] J.-J. Xiao, A. Ribeiro, Z.-Q. Luo, and G. B. Giannakis, "Distributed
compression-estimation using wireless sensor networks," IEEE Signal
Process. Mag., vol. 23, no. 4, pp. 27-41, July 2006.
[1] D. L. Hall and J. Llinas, "An introduction to multisensor data fusion,"
Proceedings of the IEEE, vol. 85, no. 1, pp. 6-23, January 1997.
[2] D. C. Hogg, "Path diversity in propagation of millimeter waves through
rain," IEEE Trans. Antennas Propagat., vol. AP-15, pp. 410-415, May
1967.
[3] Z.-W. Zhao, M.-G. Zhang, and Z.-S. Wu, "An analytic model of specific
attenuation due to rain," Infrared and Milimeter Waves, 2000, Conference
Digest, 2000 25th International Conference on., pp.471-472, 2000.
[4] H. Qi, X. Wang, S.S. Iyengar, and K. Chakrabarty, "Multisensor data
fusion in distributed sensor networks using mobile agents," Proceedings
of Information Fusion, 2001.
[5] Merrill I. Skolnik, Radar Handbook, 3rd ed., McGraw-Hill, 2008.
[6] J.-J. Xiao, A. Ribeiro, Z.-Q. Luo, and G. B. Giannakis, "Distributed
compression-estimation using wireless sensor networks," IEEE Signal
Process. Mag., vol. 23, no. 4, pp. 27-41, July 2006.
@article{"International Journal of Electrical, Electronic and Communication Sciences:50427", author = "Jin-Hyeok Kim and Won-Chul Choi and Seung-Ri Jin and Dong-Jo Park", title = "Analysis of Target Location Estimation in High Performance Radar System", abstract = "In this paper, an analysis of a target location estimation
system using the best linear unbiased estimator (BLUE) for high
performance radar systems is presented. In synthetic environments,
we are here concerned with three key elements of radar system
modeling, which makes radar systems operates accurately in strategic
situation in virtual ground. Radar Cross Section (RCS) modeling
is used to determine the actual amount of electromagnetic waves
that are reflected from a tactical object. Pattern Propagation Factor
(PPF) is an attenuation coefficient of the radar equation that contains
the reflection from the surface of the earth, the diffraction, the
refraction and scattering by the atmospheric environment. Clutter is
the unwanted echoes of electronic systems. For the data fusion of
output results from radar detection in synthetic environment, BLUE
is used and compared with the mean values of each simulation results.
Simulation results demonstrate the performance of the radar system.", keywords = "Best linear unbiased estimator (BLUE) , data fusion,
radar system modeling, target location estimation", volume = "6", number = "2", pages = "148-4", }