A reconfigurable wideband streaming channeliser for RF sensing applications: A multiple GPU-based implementation

Faulkner, S; Elton, Stephen D.; Lamahewa, Tharaka A.; Roberts, David

doi:10.1109/icspcs.2017.8270487

Cited by 2 publications

(1 citation statement)

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“…The team optimized the implementation of PFB using GPU multi-level thread and storage structure. In 2017-2018, Simon Faulkner et al developed a RF spectrum sensing acquisition system based on GPU and developed channelization equipment for the system [5,6]. In this system, polyphase filtering is adopted to realize channelized reception of broadband signals, and CUDA Stream is adopted to carry out concurrent optimization of the flow.…”

Section: Introductionmentioning

confidence: 99%

Design of Polyphase Channelization Algorithm Based on CUDA Stream Architecture

Chen¹,

Ma²,

Jiao³

et al. 2021

dtmse

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In order to improve the reconfigurability and computing efficiency of the polyphase channelization system, a new algorithm based on CUDA stream architecture was designed and optimized. Firstly, the principle of parallel channelization algorithm without blind zones is introduced. Then, various resource constraints under CUDA architecture and the relationship between the operating efficiency and parameters of the CUDA kernel under these constraints are analysed. The implementation structure of polyphase channelization algorithm is designed. Finally, NVIDIA GPU is used to implement and test the polyphase channelization algorithm based on CUDA stream. The result proves that the computational efficiency of the structure designed in this paper meets the real-time requirements, and can get about 10% efficiency improvement compared with the traditional algorithm.

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Section: Introductionmentioning

confidence: 99%