Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (7): 1990-2001.doi: 10.12305/j.issn.1001-506X.2023.07.09

• Sensors and Signal Processing • Previous Articles     Next Articles

Two-dimensional spatial-variant compensation frequency domain imaging method for bistatic forward-looking radar

Pengfei WANG1,2, Hengyi ZHAN3,*, Hongzhong SUN2   

  1. 1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
    2. China Airborne Missile Academy, Luoyang 471000, China
    3. National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China
  • Received:2022-02-16 Online:2023-06-30 Published:2023-07-11
  • Contact: Hengyi ZHAN

Abstract:

To solve the problem of the strong 2D spatial-variant of echo Doppler parameters in the airborne bistatic forward-looking radar under the condition of wide-swath and long synthetic aperture time, a 2D spatial-variant order compensation imaging method is proposed. Based on the best uniform approximation characteristics of Chebyshev orthogonal polynomials, the high-precision approximation of slant-distance and the high-quality decoupling of 2D spectrum is realized, then the spatial-variant linear range cell migration(LRCM) is corrected by Keystone transform. On this basis, the 2D spatial-variant order of Doppler parameters is quantitatively analyzed. Taking π/4 phase threshold as the standard, the 2D spatial-variant correction function suitable for the spatial-variant order is designed by using the least square fitting algorithm, and the azimuth extended nonlinear chirp scaling accuracy imaging method is proposed to accurately and efficiently correct the Doppler parameters of different spatial-variant order. The results of point target simulation and real data processing verify the good focusing performance of the proposed method.

Key words: synthetic aperture radar (SAR), range wide-swath, long synthetic aperture time, 2D spatial-variant, bistatic forward-looking imaging

CLC Number: 

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