Journal of Xidian University ›› 2021, Vol. 48 ›› Issue (2): 64-71.doi: 10.19665/j.issn1001-2400.2021.02.009

• Special Issue: Advances in Radar Technology • Previous Articles     Next Articles

Inshore ambiguity clutter suppression method aided by clutter classification

DUAN Chongdi1,2,3(),HAN Chaolei4(),YANG Zhiwei4(),ZHANG Qingjun5()   

  1. 1. School of Information and Electronics Beijing Institute of Technology,Beijing 100081,China
    2. Xi’an Institute of Space Radio Technology,Xi’an 710100,China
    3. National Key Laboratory of Science and Technology on Space Microwave,Xi’an 710000,China
    4. National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China
    5. China Academy of Space Technology,Beijing 100094,China
  • Received:2020-07-08 Revised:2020-12-23 Online:2021-04-20 Published:2021-04-28
  • Contact: Chaolei HAN E-mail:duanchongdi@hotmail.com;hancl_xd@163.com;yangzw@xidian.edu.cn;ztzhangqj@163.com

Abstract:

To address the problem that the clutter suppression performance is reduced for the multichannel synthetic aperture radar(SAR) because of the ambiguous component of the land clutter in the inshore area,we propose an inshore ambiguity clutter suppression method aided by on clutter classification.First,a multi-look interference feature covariance matrix(MIFCM) for each range-Doppler unit is constructed,which includes multi-look interference magnitude/phase and multi-look interference magnitude gradient information.Next,with the affine invariant riemannian(AIR) distance measure of MIFCMs,the clutter classification result can be acquired.Finally,with the clutter classification result,we select independent and identically distributed(IID) training samples to estimate the clutter covariance matrix in the ambiguous clutter region,with clutter suppression performed in the multichannel SAR image domain.Simulation result shows that the proposed method can accurately classify and suppress the azimuth ambiguous clutter in the inshore area.

Key words: synthetic aperture radar, clutter suppression, clutter classification, affine invariant riemannian distance, inshore area, azimuth ambiguous

CLC Number: 

  • TN958

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