Fast signal reconstruction and recognition algorithm based on cascading redundant dictionary and block sparsity for compressed sensing radar receiver

Fast signal reconstruction and recognition algorithm based on cascading redundant dictionary and block sparsity for compressed sensing radar receiver

The compressed sensing (CS) radar receiver based on the theory of CS has a great advantage in receiving wide-band signal and can receive high-frequency radar signal at a sampling rate far lower than the traditional receiver. However, in order to obtain the information of the target signal, the param...

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Bibliographic Details
Main Authors: Chaozhu Zhang, Peipei Qiu, Hongyi Xu
Format: Article
Language:English
Published: Wiley 2019-08-01
Series:The Journal of Engineering
Subjects:
signal reconstruction
radar receivers
iterative methods
compressed sensing
radar signal processing
signal sampling
discrete Fourier transforms
wide-band signal
high-frequency radar signal
traditional receiver
target signal
reconstructed signal
compressed sampling
cascading dictionary
block-sparsity
fast identification
received signals
signal-level redundant dictionary
sparsity dictionary
block sparsity
fast reconstruction
compressed sensing radar receiver
DFT basis
greedy iteration
cascading dictionary matching pursuit algorithm
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0448

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0448

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