Cargando…

MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture

The data volume and computation task of MIMO radar is huge; a very high-speed computation is necessary for its real-time processing. In this paper, we mainly study the time division MIMO radar signal processing flow, propose an improved MIMO radar signal processing algorithm, raising the MIMO radar...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Gaogao, Yang, Wenbo, Li, Peng, Qin, Guodong, Cai, Jingjing, Wang, Youming, Wang, Shuai, Yue, Ning, Huang, Dongjie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749940/ https://www.ncbi.nlm.nih.gov/pubmed/35009936 http://dx.doi.org/10.3390/s22010396

Ejemplares similares

Review of CPU and GPU Faddeeva Implementations
por: Oeftiger, Adrian, et al.
Publicado: (2016)

Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease
por: Shamonin, Denis P., et al.
Publicado: (2014)

Digital blood in massively parallel CPU/GPU systems for the study of platelet transport
por: Kotsalos, Christos, et al.
Publicado: (2021)

CPU-GPU hybrid platform for efficient spiking neural-network simulation
por: Naveros, Francisco, et al.
Publicado: (2013)

Power efficiency of HEP applications on CPU & GPU
por: Tuteja, Keshvi
Publicado: (2023)

Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks
por: Naveros, Francisco, et al.
Publicado: (2017)

Corrigendum: Event- and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks
por: Naveros, Francisco, et al.
Publicado: (2018)

A novel CPU/GPU simulation environment for large-scale biologically realistic neural modeling
por: Hoang, Roger V., et al.
Publicado: (2013)

Toward Optimal Computation of Ultrasound Image Reconstruction Using CPU and GPU
por: Techavipoo, Udomchai, et al.
Publicado: (2016)

Faster dense deformable image registration by utilizing both CPU and GPU
por: Ekström, Simon, et al.
Publicado: (2021)

A Comparison of CPU and GPU implementations for the LHCb Experiment Run 3 Trigger
por: Aaij, R., et al.
Publicado: (2021)

Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform With CUDA and OpenACC
por: Baig, Furqan, et al.
Publicado: (2020)

A Hybrid CPU/GPU Pattern-Matching Algorithm for Deep Packet Inspection
por: Lee, Chun-Liang, et al.
Publicado: (2015)

Performance data of multiple-precision scalar and vector BLAS operations on CPU and GPU
por: Isupov, Konstantin
Publicado: (2020)

Comparison of CPU and GPU bayesian estimates of fibre orientations from diffusion MRI
por: Kim, Danny H. C., et al.
Publicado: (2022)

Efficient estimation of bounded gradient-drift diffusion models for affect on CPU and GPU
por: Loossens, Tim, et al.
Publicado: (2021)

MIMO radar signal processing
por: Li, Jian, et al.
Publicado: (2009)

CPU-GPU hybrid accelerating the Zuker algorithm for RNA secondary structure prediction applications
por: Lei, Guoqing, et al.
Publicado: (2012)

Accelerating Spaceborne SAR Imaging Using Multiple CPU/GPU Deep Collaborative Computing
por: Zhang, Fan, et al.
Publicado: (2016)

pyPaSWAS: Python-based multi-core CPU and GPU sequence alignment
por: Warris, Sven, et al.
Publicado: (2018)

MIMO radar: applications for the next generation
por: Bergin, Jamie, et al.
Publicado: (2018)

Compressed Sensing in On-Grid MIMO Radar
por: Minner, Michael F.
Publicado: (2015)

CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment
por: Chen, Xi, et al.
Publicado: (2017)

A Hybrid CPU-GPU Accelerated Framework for Fast Mapping of High-Resolution Human Brain Connectome
por: Wang, Yu, et al.
Publicado: (2013)

An Imaging Plane Calibration Method for MIMO Radar Imaging
por: Guo, Yuanyue, et al.
Publicado: (2019)

Correction: A Hybrid CPU-GPU Accelerated Framework for Fast Mapping of High-Resolution Human Brain Connectome
por: Wang, Yu, et al.
Publicado: (2013)

Nonlinear Frequency Offset Beam Design for FDA-MIMO Radar
por: Xu, Yanjie, et al.
Publicado: (2023)

Detection of Multiple Stationary Humans Using UWB MIMO Radar
por: Liang, Fulai, et al.
Publicado: (2016)

Adaptive Waveform Design for MIMO Radar-Communication Transceiver
por: Yao, Yu, et al.
Publicado: (2018)

CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions
por: Liu, Yongchao, et al.
Publicado: (2013)

Optimisation of an exemplar oculomotor model using multi-objective genetic algorithms executed on a GPU-CPU combination
por: Avramidis, Eleftherios, et al.
Publicado: (2017)

Synthetic impulse and aperture radar (SIAR): a novel multi-frequency MIMO radar
por: Chen, Baixiao, et al.
Publicado: (2014)

Highly-parallelized simulation of a pixelated LArTPC on a GPU
por: Abed Abud, Adam, et al.
Publicado: (2022)

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores
por: Chikkagoudar, Satish, et al.
Publicado: (2011)

Implementation of Relativistic Coupled Cluster Theory for Massively Parallel GPU-Accelerated Computing Architectures
por: Pototschnig, Johann V., et al.
Publicado: (2021)

Sparsity-Aware DOA Estimation Scheme for Noncircular Source in MIMO Radar
por: Wang, Xianpeng, et al.
Publicado: (2016)

A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar
por: Liu, Feilong, et al.
Publicado: (2020)

Full and Fast Simulation CPU Performance Studies
por: CMS Collaboration
Publicado: (2022)

Subspace Compressive GLRT Detector for MIMO Radar in the Presence of Clutter
por: Bolisetti, Siva Karteek, et al.
Publicado: (2015)

SPARX, a MIMO Array for Ground-Based Radar Interferometry
por: Michelini, Alberto, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_9j1n69b4nntvrmnm5tjcmsqmos