FPGA-based reconfigurable matrix inversion implementation for inverse filtering of multi-channel SAR imaging

FPGA-based reconfigurable matrix inversion implementation for inverse filtering of multi-channel SAR imaging

In multi-channel synthetic aperture radar (SAR), the azimuth non-uniform sampling tends to result in a large number of virtual point targets, which are not expected. Inverse filter algorithm provides a new idea for solving this problem. This way can be abstracted as a matrix inversion in essence, wh...

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Bibliographic Details
Main Authors: HuiXing Li, YangKai Feng, ShanQing Hu, BingYi Li, YiZhuang Xie, MengChao Wu
Format: Article
Language:English
Published: Wiley 2019-11-01
Series:The Journal of Engineering
Subjects:
microprocessor chips
filtering theory
field programmable gate arrays
floating point arithmetic
radar imaging
synthetic aperture radar
iterative methods
matrix inversion
image sampling
pipeline processing
processor scheduling
resource allocation
reconfigurable architectures
fpga-based reconfigurable matrix inversion implementation
multichannel sar imaging
multichannel synthetic aperture radar
virtual points
inverse filter algorithm
matrix inversion method
lu decomposition algorithm
hierarchical iterative processing strategy
reconfigurable storage
computing unit
azimuthal nonuniform sampling results
multichannel preprocessing
floating-point ip cores
single-precision floating-point data type
resource balancing
reusable structure
pipeline technology
data scheduling
modelsim platform
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0748

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0748

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