PIER
 
Progress In Electromagnetics Research
ISSN: 1070-4698, E-ISSN: 1559-8985
Home | Search | Notification | Authors | Submission | PIERS Home | EM Academy
Home > Vol. 139 > pp. 373-387

EFFICIENT CLASSIFICATION OF LOW-RESOLUTION RANGE PROFILES OF AUTOMOBILES USING A COMBINATION OF USEFUL FEATURES

By J.-H. Jung and S.-H. Park

Full Article PDF (997 KB)

Abstract:
The range profile (RP) of an automobile is derived by compressing the wideband radar signal, and it can be utilized for the classification and thus contribute to lane change and collision avoidance. However, the limited radar bandwidth due to the cost and the system complexity impedes the successful classification. This paper proposes an efficient method to construct an efficient feature vector of the automobile RP through combined use of the central moment, the information on the maximum-minimum and the peak information. Simulation results using the five automobile models composed of point scatterers and a simple nearest neighbor classifier prove that the proposed method improves the classification result, especially in the multi-aspect classification.

Citation:
J.-H. Jung and S.-H. Park, "Efficient Classification of Low-Resolution Range Profiles of Automobiles Using a Combination of Useful Features," Progress In Electromagnetics Research, Vol. 139, 373-387, 2013.
doi:10.2528/PIER13031404
http://www.jpier.org/PIER/pier.php?paper=13031404

References:
1. Almeida, M., Advances in Vehicular Networking Technologies, InTech, 2011.
doi:10.5772/624

2. De Cos, M. E., Y. A. Lopez, and F. L. H. Andres, "On the influence of coupling AMC resonances for RCS reduction in the SHF band," Progress In Electromagnetics Research, Vol. 117, 103-119, 2011.

3. De Cos, M. E., Y. A. Lopez, and F. L. H. Andres, "A novel approach for RCS reduction using a combination of artificial magnetic conductors," Progress In Electromagnetics Research, Vol. 107, 147-159, 2010.
doi:10.2528/PIER10060402

4. Costa, F., S. Genovesi, and A. Monorchio, "A frequency selective absorbing ground plane for low-RCS microstrip antenna arrays," Progress In Electromagnetics Research, Vol. 126, 317-332, 2012.
doi:10.2528/PIER12012904

5. Park, H.-G., K. K. Park, H.-T. Kim, and K.-T. Kim, "Improvement of RCS prediction using modified angular division algorithm," Progress In Electromagnetics Research, Vol. 123, 105-121, 2012.
doi:10.2528/PIER11101301

6. Park, H.-G., H.-T. Kim, and K.-T. Kim, "Beam tracing for ast RCS prediction of electrically large targets," Progress In Electromagnetics Research M, Vol. 20, 29-42, 2011.
doi:10.2528/PIERM11060702

7. Vaitilingom, L. and A. Khenchaf, "Radar cross sections of sea and ground clutter estimated by two scale model and small slope approximation in HF-VHF bands," Progress In Electromagnetics Research B, Vol. 29, 311-338, 2011.
doi:10.2528/PIERB11021607

8. Escot-Bocanegra, D., D. Poyatos-Martinez, I. Montiel-Sanchez, F. M. Saez de Adana, and I. Gonzalez-Diego, "Spherical indoor facility applied to bistatic radar cross section measurements," Progress In Electromagnetics Research Letters, Vol. 26, 181-187, 2011.
doi:10.2528/PIERL11082211

9. Shang, Y., S.-Q. Xiao, J.-L. Li, and B.-Z.Wang, "An electronically controllable method for radar cross section reduction for a microstrip antenna," Progress In Electromagnetics Research, Vol. 127, 15-30, 2012.
doi:10.2528/PIER12022203

10. Machowski, W., G. S. Koutsogiannis, and S. Potter, "A novel approach to range profile estimation of a moving vehicle by road monitoring radar," 2007 IET International Conference on Radar Systems, 1-5, 2007.

11. Yang, W., Y. Liu, G.-S. Xia, and X. Xu, "Statistical mid-level features for building-up area extraction from full polarimetric SAR imagery," Progress In Electromagnetics Research, Vol. 132, 233-254, 2012.

12. Ren, X.-Z., Y. F. Li, and R. Yang, "Four-dimensional SAR imaging scheme based on compressive sensing," Progress In Electromagnetics Research B, Vol. 39, 225-239, 2012.
doi:10.2528/PIERB11121212

13. Yan, S., Y. Li, T. Jin, Z.-M. Zhou, and D. X. An, "Improved motion compensation for wide-beam wide-swath airborne SAR," Progress In Electromagnetics Research Letters, Vol. 36, 1-7, 2013.

14. Yan, W., J.-D. Xu, G. Wei, L. Fu, and H.-B. He, "A fast 3D imaging technique for near-field circular SAR processing," Progress In Electromagnetics Research, Vol. 129, 271-285, 2012.

15. Quivira, F., J. A. Martinez-Lorenzo, and C. M. Rappaport, "Impact of the wave number estimation in underground focused SAR imaging," Progress In Electromagnetics Research Letters, Vol. 32, 29-38, 2012.

16. Fan, C., X.-T. Huang, T. Jin, J.-G. Yang, and D. X. An, "Novel pre-processing techniques for coherence improving in along-track dual-channel low frequency SAR," Progress In Electromagnetics Research, Vol. 128, 171-193, 2012.

17. Liu, Y., Y.-K. Deng, R. Wang, and X. Jia, "Bistatic FMCW SAR raw signal simulator for extended scenes," Progress In Electromagnetics Research, Vol. 128, 479-502, 2012.

18. Park, S.-H., J.-I. Park, and K.-T. Kim, "Bistatic FMCW SAR raw signal simulator for extended scenes," Progress In Electromagnetics Research, Vol. 128, 479-502, 2012.

19. Liu, J., X. Li, S. Xu, and Z. Zhuang, "ISAR imaging of non-uniform rotation targets with limited pulses via compressed sensing," Progress In Electromagnetics Research B, Vol. 41, 285-305, 2012.

20. Park, J.-H., H. Lim, and N.-H. Myung, "Modified Hilbert-Huang transform and its application to measured micro Doppler signatures from realistic jet engine models," Progress In Electromagnetics Research, Vol. 126, 255-268, 2012.
doi:10.2528/PIER12010602

21. Han, S.-K., H.-T. Kim, S.-H. Park, and K.-T. Kim, "Efficient radar target recognition using a combination of range profile and time-frequency analysis," Progress In Electromagnetics Research, Vol. 108, 131-140, 2010.
doi:10.2528/PIER10071601

22. Kim, K.-T. and H.-R. Jeong, "Identification of multi-aspect radar signals based on the feature space trajectory concept," IEEE Transations on Antennas and Propagation, Vol. 53, No. 11, 3811-3821, Nov. 2005.

23. Park, S.-H., J.-H. Lee, and K.-T. Kim, "Performance analysis of the scenario-based construction method for real target ISAR recognition," Progress In Electromagnetics Research, Vol. 128, 137-151, 2012.

24. Park, S.-H., M.-G. Joo, and K.-T. Kim, "Construction of ISAR training database for automatic target recognition," Journal of Electromagnetic Waves and Applications, Vol. 25, No. 11-12, 1493-1503, 2011.
doi:10.1163/156939311797164909

25. Park, S.-H., "Automatic recognition of targets in formation using range profiles," Journal of Electromagnetic Waves and Applications, Vol. 26, No. 14-15, 2059-2069, Oct. 2012.
doi:10.1080/09205071.2012.724769

26. Li, Q., E. J. Rothwell, K. M. Chen, and D. P. Nyquist, "Radar target discrimination schemes using time-domain and frequency-domain methods for reduced data storage," IEEE Transaction on Antennas and Propagation, Vol. 45, 995-1000, Jun. 1997.

27. Zyweck, A. and R. E. Bogner, "Radar target classfication of commercial aircraft," IEEE Transactions on Aerospace Electronic Systems, Vol. 32, 598-606, Apr. 1996.
doi:10.1109/7.489504

28. Luo, S. and S. Li, "Automatic target recognition of radar HRRP based on high order central moments features," Journal of Electronics (China), Vol. 26, No. 2, 184-190, Mar. 2009.
doi:10.1007/s11767-007-0111-3

29. Cumming, I. G. and F. H. Wong, Digital Processing of Synthetic Aperture Radar, Artech House, 2005.

30. Sezan, M. L., "A peak detection algorithm and its application to histogram-based image data reduction," Computer Vision, Graphics, and Image Processing, Vol. 49, No. 1, 36-51, Jan. 1990.
doi:10.1016/0734-189X(90)90161-N

31. Kim, K. T., D. K. Seo, and H. T. Kim, "Efficient radar target recognition using the MUSIC algorithm and invariant features," IEEE Transaction on Antennas and Propagation, Vol. 50, No. 3, 325-337, Mar. 2002.
doi:10.1109/8.999623


© Copyright 2014 EMW Publishing. All Rights Reserved