Abstract
ABSTRACTWhen millimeter wave radar is used to detect high-speed maneuvering targets, the keystone transform can calibrate the range migration caused by the linear term of high-speed motion but cannot correct the spectrum-broadening caused by variable acceleration maneuvering. To solve this problem, an optimization method is proposed based on a keystone transform. First, a keystone transform is used to compensate for the range migration, and then the phase compensation component of the Doppler migration is estimated based on the maximum likelihood estimation theory. To reduce the computation, a fast subspace method is introduced to avoid the eigenvalue decomposition of the high-dimensional matrix. Finally, slow time dimension processing is applied to obtain the energy accumulation spectrum of the target. The optimization method can eliminate the range migration and the Doppler spectra broadening of the target. Simulation results verify this conclusion.
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