Application of the fractional fourier transform to ISAR range profile compensation of fast-moving target

The authors consider the problem of range profile compensation (RPC) in the inverse synthetic aperture radar (ISAR) imaging of fast-moving target. A novel RPC technique based on fractional Fourier transform (FrFT) is proposed. In this scheme, the compensation parameters are estimated by the FrFT based on the Shannon entropy minimizing criterion. The following burst error elimination technique and least mean square curve fitting technique are used successively to obtain more accurate and robust estimation. By combing all those techniques, a detailed RPC algorithm is presented and the effectiveness of the proposed algorithm is shown by presenting and discussing some computer simulation results.