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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2018, Vol. 39 ›› Issue (8): 321886-321886.doi: 10.7527/S1000-6893.2018.21886

• Electronics and Electrical Engineering and Control • Previous Articles     Next Articles

An imaging algorithm for heterogeneous bistatic forward-looking SAR based on modified WLBF spectrum

LI Xiangping1, CHEN Qi1, ZHU Mingbo1, ZOU Xiaohai2, LU Zhiyi1   

  1. 1. College of Coast Defence Arm, Naval Aviation University, Yantai 264001, China;
    2. College of Weapons Engineering, Naval University of Engineering, Wuhan 430033, China
  • Received:2017-11-22 Revised:2018-05-28 Online:2018-08-15 Published:2018-05-28
  • Supported by:
    State Key Laboratory Open Foundation (CEMEE2016K0201B)

Abstract: The bistatic forward-looking Synthetic Aperture Radar(SAR) composed by heterogeneous platforms has potential applicability for its flexibility in realizing forward-looking imaging for various configurations. Nevertheless, the special configuration brings new properties to echo signals, making it inconvenient to derive the spectrum model or design imaging algorithm. For this issue, a bistatic forward-looking SAR imaging algorithm is proposed based on the modified Weighted Loffeld's Bistatic Formula (WLBF) spectrum. First, the range walk removal and Chebyshev order reduction method are introduced to decrease the weighted segmentation errors and second-order Taylor expansion errors in phase history of the traditional spectrum model. On this basis, a modified WLBF spectrum model is derived. Then, the modified WLBF spectrum is expanded by Chebyshev polynomials, and thus a bistatic forward-looking SAR imaging algorithm is designed. Finally, simulations of the spectrum model and imaging algorithm are conducted. The results show that the proposed modified WLBF spectrum model has better accuracy compared with traditional ones, and the designed imaging algorithm can meet the imaging requirement for the heterogeneous bistatic system with high forward-looking angle.

Key words: heterogeneous bistatic, forward-looking SAR, spectrum, Chebyshev polynomials, imaging algorithm

CLC Number: