High-Performance Chip Design with Parallel Architecture for Magnetic Field Imaging System

To address the limitations of typical coil detection systems and enhance the performance of traditional magnetic field imaging systems, we propose a magnetic field imaging system that uses a 4 × 4 array of anisotropic magnetoresistance (AMR) sensors. The core controller of the proposed system was de...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on instrumentation and measurement Ročník 73; s. 1
Hlavní autoři: Lin, Ming-Yi, Hsieh, Sheng-Hsien, Chen, Ching-Han, Lin, Chun-Hung
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Computer architecture
Data processing
Data transmission
Field programmable gate arrays
Magnetic field imaging
Magnetic field sensor array
Magnetic fields
Magnetoresistance
Magnetoresistivity
nondestructive testing (NDT)
Parallel architecture and algorithm
Parallel processing
Sensor arrays
ISSN:0018-9456, 1557-9662
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:To address the limitations of typical coil detection systems and enhance the performance of traditional magnetic field imaging systems, we propose a magnetic field imaging system that uses a 4 × 4 array of anisotropic magnetoresistance (AMR) sensors. The core controller of the proposed system was designed using a pipelined parallelization algorithm and implemented on a high-speed field-programmable gate array in a fully hardware-based architecture. The designed magnetic field imaging system can achieve parallel acquisition of magnetic field components from the 16-channel AMR sensor array, parallel data processing, parallel data transmission, and parallel computations in a single cycle of only 4 ms. Compared with typical detection systems, the proposed solution not only exhibits superior performance but can also provide dynamic visual representations of sensed information.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2023.3334351