Open AccessImaging of high‐speed manoeuvering target via improved version of product high‐order ambiguity function
Author(s) -
Wang Yong,
Abdelkader Ali Cherif,
Zhao Bin,
Zhang Qingxiang,
Wang Jinxiang
Publication year - 2016
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2015.0120
Subject(s) - ambiguity function , computer science , superposition principle , radar , azimuth , estimator , algorithm , radar imaging , function (biology) , ambiguity , artificial intelligence , computer vision , mathematics , telecommunications , statistics , mathematical analysis , geometry , evolutionary biology , waveform , biology , programming language
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.