A Dictionary-Based SAR RFI Suppression Method via Robust PCA and Chirp Scaling Algorithm

Synthetic aperture radar (SAR) is an important imaging tool in many applications. Its imaging quality can be easily degraded by radio-frequency interferences (RFIs), among which the narrowband ones are typical. In recent years, it is shown that the narrowband RFI has a low-rank property and this pro...

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Vydané v:IEEE geoscience and remote sensing letters Ročník 18; číslo 7; s. 1229 - 1233
Hlavní autori: Yang, Huizhang, Chen, Chengzhi, Chen, Shengyao, Xi, Feng, Liu, Zhong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Azimuth
Chirp
Chirp scaling algorithm (CSA)
Chirp signals
Computer applications
Dictionaries
Echoes
Glossaries
Imaging techniques
Mathematical models
Narrowband
Numerical simulations
Principal components analysis
Pulse duration
Radar
Radar clutter
Radar echoes
Radar imaging
radio-frequency interference (RFI) suppression
robust principle component analysis (RPCA)
Robustness (mathematics)
SAR (radar)
Scaling
sparsity and low rank
Storage
Synthetic aperture radar
synthetic aperture radar (SAR)
Transforms
ISSN:1545-598X, 1558-0571
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Popis
Shrnutí:Synthetic aperture radar (SAR) is an important imaging tool in many applications. Its imaging quality can be easily degraded by radio-frequency interferences (RFIs), among which the narrowband ones are typical. In recent years, it is shown that the narrowband RFI has a low-rank property and this property can be combined with the sparsity of radar echoes' to develop efficient RFI-suppression algorithms. However, these works usually consider the case of sparse echoes in the impulse-based radar, which is not suitable for typical SAR systems that use a chirp signal with a relatively long pulse duration. Some works adopt a large 2-D dictionary to introduce sparse representation for the echoes, which nevertheless lack efficient numerical algorithms, because the large dictionary brings high storage cost and computational burden. Motivated by these problems, this letter introduces an operator modeling approach for the echo dictionary and proposes a dictionary-based SAR RFI-suppression method under the framework of robust principle component analysis (RPCA). In the proposed method, the useful echo is sparsely represented by a dictionary, and the dictionary's analysis and synthesis operators are modeled as two sequences of low-cost operations by exploiting the chirp scaling algorithm. Then, an efficient algorithm is derived for solving the dictionary-based RPCA problem. Numerical simulations show that the proposed method is robust and efficient for SAR narrowband RFI suppression.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2020.2997947