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Wavelet‐packet‐based time–frequency distribution and its application to radar imaging
Author(s) -
Wang Minsheng,
Chan Andrew K.
Publication year - 1998
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/(sici)1099-1204(199801/02)11:1<21::aid-jnm287>3.0.co;2-m
Subject(s) - inverse synthetic aperture radar , computer science , wavelet , radar imaging , doppler effect , wavelet packet decomposition , radar , signal (programming language) , focus (optics) , wavelet transform , artificial intelligence , algorithm , telecommunications , optics , physics , astronomy , programming language
An efficient wavelet‐packet‐based time–frequency technique is proposed in this paper. This technique has found applications in inverse synthetic aperture radar (ISAR). It combines the Wigner–Ville distribution (WVD) of each sub‐band signal partitioned from an input signal by the wavelet‐packet transform (WPT). These distributions are used to estimate the parameters in Doppler processing. Similar parametric compensation is carried out in range processing so that a specific scatterer is focused in both range and cross‐range. The end result uses the Fourier imaging method to obtain a high‐resolution radar image. This technique is primarily based on estimation and compensation of the Doppler scattering parameters of the dominant scatterers for improved focus. It can be of great value to the scattering‐oriented ISAR imaging. © 1998 John Wiley & Sons, Ltd.