Journal of Systems Engineering and Electronics

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Long term integration algorithm for high-dynamic targets

Gang Yang1,2, Haikun Luo3, Jing Tian2,*, and Siliang Wu1#br#   

  1. 1. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;
    2. Beijing Institute of Remote Sensing Equipment, Beijing 100854, China;
    3. Science and Technology on Electronic Information Control Laboratory, Chengdu 610036, China

  • Online:2016-10-25 Published:2010-01-03

Abstract:

A new long term integration algorithm is proposed for high-dynamic targets, which can resolve the problems of spectrum spread, frequency walk and pseudorandom noise (PRN) code phase curvature caused by the motion of targets. This algorithm first applies a keystone transform based improved discrete polynomial-phase transform (KT-IDPT) to estimate the Doppler chirp rate. Then, based on the estimated Doppler chirp rate, dechirping and envelope translation are performed on the partial correlation results to correct the spectrum spread and the code phase curvature. The simulation results demonstrate that the proposed method has low integration loss and computational burden.