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Novel supper-resolution wide area imaging algorithm based on APES

CHEN Hong-meng, LI Ming, LU Yun-long, ZUO Lei, ZHANG Peng   

  1. National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
  • Online:2015-01-13 Published:2010-01-03

Abstract:

Doppler beam sharpening(DBS)technology can be used to acquire a wide-area surveillance scene, yet the resolution is not high. A basic principle of DBS imaging is introduced, and a superresolution model in the azimuth direction is constructed and a novel wide area super resolution imaging algorithm is proposed. The echo data can be expressed as the sum of a set of different scattering centers with different Doppler frequencies in frequency domain, and the amplitude and phase estimation(APES)method is applied to perform the Doppler analysis. Simulation results and measured data show that the proposed algorithm can obtain a clear super-resolution wide-area DBS image.

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