1. Electromagnetic Pattern Extraction and Grouping for Near-Field Scanning of Integrated Circuits by PCA and K-Means Approaches
- Author
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Yunfei En, E Shao, Fang Wenxiao, Ziyang Hong, Shao Weiheng, Lei Wang, Luo Chengyang, and He Zhiyuan
- Subjects
Electromagnetics ,business.industry ,Computer science ,Feature extraction ,020206 networking & telecommunications ,Pattern recognition ,Near and far field ,Hardware_PERFORMANCEANDRELIABILITY ,02 engineering and technology ,Integrated circuit ,Condensed Matter Physics ,Atomic and Molecular Physics, and Optics ,Electromagnetic interference ,law.invention ,Computer Science::Hardware Architecture ,Microcontroller ,law ,Hardware_INTEGRATEDCIRCUITS ,0202 electrical engineering, electronic engineering, information engineering ,Device under test ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,Field-programmable gate array - Abstract
Electromagnetic patterns in near field scanning usually give important information about the source inside an device under test. In this paper, we develop a postprocessing technique, including standard-deviation-based method, principal component analysis, and K -means method, so that the electromagnetic patterns in near field scanning can be extracted fast and grouped automatically and efficiently. The postprocessing techniques are applied to experimental near-field scanning of ICs, such as a microcontroller unit (MCU) and a field programmable gate array (FPGA). The grouping on the electromagnetic patterns of the MCU is in good agreement with the published grouping result, and the grouping on the electromagnetic patterns of the FPGA can find out the additional cluster responsible for additional circuit.
- Published
- 2019