基于改进离散多项式相位变换的机动目标ISAR成像

ISAR Imaging of Maneuvering Targets Based on the Modified Discrete Polynomial-Phase Transform.

作者信息

Wang Yong, Abdelkader Ali Cherif, Zhao Bin, Wang Jinxiang

机构信息

Research Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin 150001, China.

出版信息

Sensors (Basel). 2015 Sep 3;15(9):22401-18. doi: 10.3390/s150922401.

DOI:10.3390/s150922401

PMID:26404299

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4610438/

Abstract

Inverse synthetic aperture radar (ISAR) imaging of a maneuvering target is a challenging task in the field of radar signal processing. The azimuth echo can be characterized as a multi-component polynomial phase signal (PPS) after the translational compensation, and the high quality ISAR images can be obtained by the parameters estimation of it combined with the Range-Instantaneous-Doppler (RID) technique. In this paper, a novel parameters estimation algorithm of the multi-component PPS with order three (cubic phase signal-CPS) based on the modified discrete polynomial-phase transform (MDPT) is proposed, and the corresponding new ISAR imaging algorithm is presented consequently. This algorithm is efficient and accurate to generate a focused ISAR image, and the results of real data demonstrate the effectiveness of it.

摘要

对机动目标进行逆合成孔径雷达（ISAR）成像是雷达信号处理领域一项具有挑战性的任务。经过平移补偿后，方位向回波可表征为多分量多项式相位信号（PPS），结合距离-瞬时多普勒（RID）技术对其进行参数估计，可获得高质量的ISAR图像。本文提出了一种基于改进离散多项式相位变换（MDPT）的新型三阶多分量PPS（立方相位信号-CPS）参数估计算法，并据此提出了相应的新型ISAR成像算法。该算法能够高效、准确地生成聚焦的ISAR图像，实际数据结果验证了其有效性。