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Volume 27 Issue 12
Dec.  2005
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Zhibin ZUO, Chaowen CHANG, Xianwei ZHU. A Software-Defined Networking Packet Forwarding Verification Mechanism Based on Programmable Data Plane[J]. Journal of Electronics & Information Technology, 2020, 42(5): 1110-1117. doi: 10.11999/JEIT190381
Citation: Cheng Ping, Jiang Yi-cheng, Xu Rong-qing. Fast Algorithm for ISAR Instantaneous Imaging Based on Adaptive Chirplet Transform[J]. Journal of Electronics & Information Technology, 2005, 27(12): 1867-1871.

Fast Algorithm for ISAR Instantaneous Imaging Based on Adaptive Chirplet Transform

  • Received Date: 2004-06-17
  • Rev Recd Date: 2005-01-24
  • Publish Date: 2005-12-19
  • In Inverse Synthetic Aperture Radar(ISAR) instantaneous imaging, to solve the problems of big computation burden and limited approach precision of adaptive chirplet transform, a fast algorithm is proposed. Based on parameter coarse estimation, it converts a multi-dimension optimization process into a problem of equation solving. Comparing with the conventional algorithm, the proposed algorithm is not only fast but also more acute. Applying the algorithm into simulating and real radar data can reconstruct ISAR images of good quality. It shows that the proposed fast algorithm is an efficient ISAR instantaneous imaging algorithm.
  • Chen V C, Qian S. Joint time-frequency transform for radar range-Doppler imaging[J].IEEE Trans. on Aerospace and Electronic Systems.1998, 34(2):486-499[2]Choi I S, Cho B L, Kim H T. ISAR motion compensation using evolutionary adaptive wavelet transform[J].IEE Proc.-Radar Sonar Navig.2003, 150(4):229-233[3]Bultan A. A four-parameter atomic decomposition of chirplet[J].IEEE Trans. on Signal Processing.1999, 47(3):731-745[4]Mann S, Haykin S. The adaptive chirplet: An adaptive[5]generalized wavelet-like transform. Proc[J].SPIE.1991, 1565:402-413[6]Bao Z, Wang G, Luo L. Inverse synthetic aperture radar imaging of maneuvering targets[J].Optical Engineering.1998, 37(5):1582-1588[7]Mallat S, Zhang Z. Matching pursuit with time-frequency dictionaries[J].IEEE Trans. on Signal Processing.1993, 41(12):3397-3415[8]Yin Qinye, Qian Shie, Feng Aigang. A fast refinement for adaptive Gaussian chirplet decomposition[J].IEEE Trans. on Signal Processing.2002, 50(6):1298-1306[9]殷勤业, 倪志芳, 钱世锷, 陈大庞. 自适应旋转投影分解法. 电子学报, 1997, 25(4): 52-58.
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