Coherent frequency agile radar has a strong anti-jamming ability, but it may encounter difficulty in computational effort while reconstructing target using compressed sensing. In this paper, an acceleration method and implementation of Orthogonal Matching Pursuit algorithm (OMP) based on CUDA are developed to meet the needs of real-time application of sparse reconstruction algorithm of coherent frequency agile radar target. The algorithms are tested on a computer with a NVIDIA Rtx2070 Super GPU and an Inter-i5-10400f CPU. Computational results indicate that the proposed parallelization method has a good acceleration effect on compressed sensing reconstruction calculation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.