Browse > Article
http://dx.doi.org/10.5515/KJKIEES.2017.28.6.487

Comparison of GMTI Performance Using DPCA for Various Clutters  

Lee, Myung-Jun (Department of Electronic Engineering, Pohang University of Science and Technology)
Lee, Seung-Jae (Department of Electronic Engineering, Pohang University of Science and Technology)
Kang, Byung-Soo (Department of Electronic Engineering, Pohang University of Science and Technology)
Ryu, Bo-Hyun (Department of Electronic Engineering, Pohang University of Science and Technology)
Lim, Byoung-Gyun (Korea Aerospace Research Institute)
Oh, Tae-Bong (Korea Aerospace Research Institute)
Kim, Kyung-Tae (Department of Electronic Engineering, Pohang University of Science and Technology)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.28, no.6, 2017 , pp. 487-496 More about this Journal
Abstract
Ground moving target indicator(GMTI) using syntheticaperture radar(SAR) used for finding moving targets on wide background clutter in short time is one of good ways to monitor a traffic situation or an enemy's threat. Although displaced phase center antenna (DPCA) is a real time method with low computational complexity, there have been few studies about its performance against various ground clutters. Thus, we need to analyze GMTI performance for various ground clutters in order to design a suitable DPCA detector. In this paper, simulation results show that the conventional DPCA detector produces different performance in terms of detection rate and false alarm rate. In particular, the false alarm rate of heterogeneous or extremely heterogeneous clutter from urban area is higher than one of homogeneous clutter from natural area.
Keywords
GMTI; DPCA; Clutter; CFAR Detector;
Citations & Related Records
연도 인용수 순위
  • Reference
1 W. Burger, "Space-time adaptive processing: Algorithms", Educational Notes RTO-EN-SET-086, 2006.
2 G. Gao, G. Shi, "The CFAR detection of ground moving targets based on a joint metric of SAR interferogram's magnitude and phase", IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 9, pp. 3618-3624, Sep. 2012.   DOI
3 E. Chapin, C. W. Chen, "Along-track interferometry for ground moving target indication", IEEE Aerospace and Electronic Systems Magazine, vol. 23, no. 6, 19-24, Jul. 2008.   DOI
4 R. Deming, M. Best, and S. Farrell, "Simultaneous SAR and GMTI using ATI/DPCA", Proceedings of the SPIE, vol. 9093, Jun. 2014.
5 Y. Hou, J. Wnag, X. Liu, K. Wnag, and Y. Gao, "An automatic SAR-GMTI algorithm based on DPCA", IEEE Geoscience and Remote Sensing Symposium, Jul. 2014.
6 A. C. frery, H. Muller, C. C. F. Tanasse, and S. J S. Sant'Anna, "A model for extremely heterogeneous clutter", IEEE Transactions on Geoscience and Remote Sensing, vol. 35, no 3, pp. 648-659, May 1997.   DOI
7 E. Conter, M. Longo, and M. Lops, "Modelling and simulation of non-Rayleigh radar clutter", IEE Proceedings F - Radar and Signal Processing, vol. 138, no. 2, pp. 121-130, Apr. 1991.   DOI
8 C. H. Gierull, "Statistical analysis of multilook sar interferograms for CFAR detection of ground moving targets", IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no 4, pp. 691-701, Apr. 2004.   DOI
9 S. Suchandt, H. Runge, H. Breit, U. Steinbrecher, A. Kotenkow, and U. Balss, "Automatic extraction of traffic flows using TerraSAR-X along-track interferometry", IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no 2, pp. 807-819, Feb. 2010.   DOI
10 C. H. Gierull, "Ground moving target parameter estimation of two-channel SAR", IEE Proceedings - Radar Sonar and Navigation, vol. 153, no. 3, pp. 224-233, Jun. 2006.   DOI
11 X. Yang, J. Wnag, "GMTI based on a combination of DPCA and ATI", IET International Radar Conference 2015, Oct. 2015.
12 B. R. Mahafza, Radar Systems Analysis and Design Using MATLAB, Chapman & Hall/CRC, p. 323, 2013.