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Volume 32 Issue 5
May  2010
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Huang Jian, Li Xin, Huang Xiao-tao, He Feng. Micro-Doppler Features Based Parameter Estimation and Identification of Tank[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1050-1055. doi: 10.3724/SP.J.1146.2009.00669
Citation: Huang Jian, Li Xin, Huang Xiao-tao, He Feng. Micro-Doppler Features Based Parameter Estimation and Identification of Tank[J]. Journal of Electronics & Information Technology, 2010, 32(5): 1050-1055. doi: 10.3724/SP.J.1146.2009.00669

Micro-Doppler Features Based Parameter Estimation and Identification of Tank

doi: 10.3724/SP.J.1146.2009.00669
  • Received Date: 2009-05-06
  • Rev Recd Date: 2009-11-23
  • Publish Date: 2010-05-19
  • It is important to classify and recognize ground moving targets such as armored cars. Micro-Doppler features have special advantages in identification due to the detailed information of target. The micro-Doppler features of turret and gun tube which possessed by tank only are discussed, a method or general process for parameter estimation and precise identification based on micro-Doppler features of different tank types is proposed, which can be valuable assistant technical approach to existing methods. Validity is verified with the identicalness of calculated and simulated time-frequency spectrum.
  • Li Y, Liu H W, and Bao Z. Radar HRRP recognition based on the minimum Kullback Leibler distance criterion[J].Journal of Electronics (China.2007, 24(2):199-203[2]高倩, 刘家学, 吴仁彪. 一种基于高分辨率距离像自动目标识别新方法[J]. 中国民航学院学报, 2002, 20(1): 1-4.[3]Gao Qian, Liu Jia-xue, and Wu Ren-biao. Novel method for automatic target recognition based on high resolution range profiles[J]. Journal of Civil Aviation University of China,[4]02, 20(1): 1-4.[5]Guo W, Qi Q, Jiang L L, and Zhang P. A new method of SAR image target recognition based on AdaBoost algorithm[C]. IEEE International Geoscience and Remote Sensing Symposium, IGARSS, Boston, Massachusetts, July, 2008, III: 1194-1197.[6]Tong L B, Lu W J, and Qi D N, et al.. Target recognition based on seismic sensors and neural network[C][J].The Eighth International Conference on Electronic Measurement and Instruments, ICEMI2007, Xian.2007, 1:18-21[7]Smith G E, Woodbridge K, and Baker C J. Template based micro-Doppler signature classification[C]. Radar Conference, Manchester, UK. 3rd European, Sept., 2006: 158-161.[8]Stove A G and Sykes S R. A Doppler-based automatic target classifier for a battlefield surveillance radar[C]. Proceedings of IEEE International Conference on Radar, Edinburgh, UK, October, 2002: 419-423.[9]Kulpa K. Advances in Sensing with Security Applications: Continuous Wave Radars-monostatic, Multistatic and Network[M]. ser. NATO Security through Science Series, Netherlands: Springer, 2006: 215-242.[10]Ghaleb A, Vignaud L, and Nicolas J M. Micro-Doppler analysis of wheels and pedestrians in ISAR imaging[J].IET Signal Process.2008, 2(3):301-311[11]Tan H S, Ma C Z, and Yeo T S, et al.. ISAR imaging of targets with moving parts using micro-Doppler detection on the range profile image[C]. IEEE International IGARSS, Barcelona, Spain. July, 2007: 499-502.
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