摘要
A new long term integration algorithm is proposed forhigh-dynamic targets, which can resolve the problems of spectrumspread, frequency walk and pseudorandom noise （PRN）code phase curvature caused by the motion of targets. This algorithmfirst applies a keystone transform based improved discretepolynomial-phase transform （KT-IDPT） to estimate the Dopplerchirp rate. Then, based on the estimated Doppler chirp rate,dechirping and envelope translation are performed on the partialcorrelation results to correct the spectrum spread and the codephase curvature. The simulation results demonstrate that the proposedmethod has low integration loss and computational burden.
A new long term integration algorithm is proposed forhigh-dynamic targets, which can resolve the problems of spectrumspread, frequency walk and pseudorandom noise （PRN）code phase curvature caused by the motion of targets. This algorithmfirst applies a keystone transform based improved discretepolynomial-phase transform （KT-IDPT） to estimate the Dopplerchirp rate. Then, based on the estimated Doppler chirp rate,dechirping and envelope translation are performed on the partialcorrelation results to correct the spectrum spread and the codephase curvature. The simulation results demonstrate that the proposedmethod has low integration loss and computational burden.
作者
Gang Yang
Haikun Luo
Jing Tian
Siliang Wu
Gang Yang Haikun Luo Jing Tian Siliang Wu(School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China Beijing Institute of Remote Sensing Equipment, Beijing 100854, China Science and Technology on Electronic Information Control Laboratory, Chengdu 610036, China)
基金
supported by the Beijing Natural Science Foundation(4164097)
the Chinese Postdoctoral Science Foundation(2016M591226)
