A compressed sensing method for complex-valued signals with application to through-the-wall radar imaging
FHC Tivive, A Bouzerdoum - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013•ieeexplore.ieee.org
In this paper, we present a compressed sensing method for complex-valued signals based
on multiple measurement vector compressed sensing model. The proposed method
constrains the real and imaginary parts of the recovered signal to have the same sparsity
profile. It is applied to a compressed sensing through-the-wall radar imaging problem.
Experiments based on synthetic data shows that the proposed method achieves lower
reconstruction error than the existing CS method.
on multiple measurement vector compressed sensing model. The proposed method
constrains the real and imaginary parts of the recovered signal to have the same sparsity
profile. It is applied to a compressed sensing through-the-wall radar imaging problem.
Experiments based on synthetic data shows that the proposed method achieves lower
reconstruction error than the existing CS method.
In this paper, we present a compressed sensing method for complex-valued signals based on multiple measurement vector compressed sensing model. The proposed method constrains the real and imaginary parts of the recovered signal to have the same sparsity profile. It is applied to a compressed sensing through-the-wall radar imaging problem. Experiments based on synthetic data shows that the proposed method achieves lower reconstruction error than the existing CS method.
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