Imaging of high-speed manoeuvering target via improved version of product high-order ambiguity function

被引：9

作者：

Wang, Yong ^{[1
]}

Abdelkader, Ali Cherif ^{[1
]}

Zhao, Bin ^{[1
]}

Zhang, Qingxiang ^{[1
]}

Wang, Jinxiang ^{[1
]}

机构：

[1] Harbin Inst Technol, Res Inst Elect Engn Technol, Harbin 150001, Peoples R China

来源：

IET SIGNAL PROCESSING | 2016年 / 10卷 / 04期

基金：

美国国家科学基金会; 中国国家自然科学基金;

关键词：

radar imaging; frequency modulation; high-speed manoeuvering target imaging; product high-order ambiguity function; echo azimuth part; quadratic frequency-modulated signal superposition; QFM signal superposition; range-Doppler algorithm; parameter estimation; one-dimensional maximisation; 1D maximisation; radar image quality; IPHAF technique; CHIRP RATE DISTRIBUTION; PARAMETER-ESTIMATION; FOURIER-TRANSFORM; ESTIMATION ALGORITHM; ISAR; RESOLUTION; SIGNALS; MOTION;

D O I：

10.1049/iet-spr.2015.0120

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This study presents a novel algorithm for radar imaging of high-speed manoeuvering target. It is based on the fact that the azimuth part of the echo is modelled as the superposition of multiple quadratic frequency modulated (QFM) signals, and the range-Doppler algorithm is inappropriate to generate a focused radar image in this case. In this study, the improved version of product high-order ambiguity function (IPHAF) is proposed to estimate the parameters of multiple QFM signals. This estimator requires only one-dimensional (1D) maximisations without the scaling operation compared with the traditional product high-order ambiguity function. The radar image quality can be improved by the IPHAF technique, and the experimental results validate the effectiveness of the method presented in this study.

引用

页码：385 / 394

页数：10

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