High Velocity Motion Compensation of IFDS Data in ISAR Imaging Based on Adaptive Parameter Adjustment of Matched Filter and Entropy Minimization

This paper proposes a new high-velocity motion compensation method for intermediate frequency direct sampling (IFDS) data by adaptive parameter adjustment of a matched filter and entropy minimization. First, the influence of high-velocity motion to IFDS data is analyzed. The high-velocity motion brings in aberration to the range profile and blurring the phase of inverse synthetic aperture radar imaging. Then, adaptive parameter adjustment of a matched filter is designed to accomplish joint high-velocity motion compensation and pulse compression. The iterative search for the velocity utilizing golden section search based on waveform entropy minimization is adopted to improve the efficiency. Experimental results demonstrate the validity of the proposed method.