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...

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Published inIEEE transactions on instrumentation and measurement Vol. 73; p. 1
Main Authors Lin, Ming-Yi, Hsieh, Sheng-Hsien, Chen, Ching-Han, Lin, Chun-Hung
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
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
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Abstract 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.
AbstractList To address the limitations of typical coil detection systems and enhance the performance of traditional magnetic field imaging (MFI) systems, we propose a MFI system that uses a [Formula Omitted] 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 (FPGA) in a fully hardware-based architecture. The designed MFI 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.
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.
Author Chen, Ching-Han
Hsieh, Sheng-Hsien
Lin, Chun-Hung
Lin, Ming-Yi
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To address the limitations of typical coil detection systems and enhance the performance of traditional magnetic field imaging (MFI) systems, we propose a MFI...
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SubjectTerms 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
Title High-Performance Chip Design with Parallel Architecture for Magnetic Field Imaging System
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Volume 73
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