ISAR 2-D imaging of uniformly rotating targets via matching pursuit

Gang Li; Hao Zhang; Xiqin Wang; Xiang Gen Xia

doi:10.1109/TAES.2012.6178106

ISAR 2-D imaging of uniformly rotating targets via matching pursuit

Gang Li^*, Hao Zhang, Xiqin Wang, Xiang Gen Xia

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

140 Citations (Scopus)

Abstract

An algorithm based on matching pursuit (MP) is proposed for inverse synthetic aperture radar (ISAR) two-dimensional (2-D) imaging of uniformly rotating targets. The ISAR echo is decomposed into many subsignals that are generated by discretizing spatial domain and synthesizing the ISAR data for every discretized spatial position. The subsignals that indeed contribute to the ISAR echo are selected by the MP, and their coefficients represent the superresolution image. The target rotation rate is estimated by combining MP with maximum contrast search.

Original language	English
Article number	6178106
Pages (from-to)	1838-1846
Number of pages	9
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	48
Issue number	2
DOIs	https://doi.org/10.1109/TAES.2012.6178106
Publication status	Published - Apr 2012
Externally published	Yes

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ISAR 2-D imaging of uniformly rotating targets via matching pursuit

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