Long term integration algorithm for high-dynamic targets

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.