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Embedded Software-Define Radio for Wearable Microware Detection

  • Yizhi Wu
  • Biao Luo
  • Hairui Zhu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11280)

Abstract

Microwave imaging (MWI) based breast cancer detection has attracted widespread attentions because it has great advantages of non-ionization and low price. However, the current MWI systems require huge and expensive hardware, and complex signal calibration and present substantial challenges to the application of MWI system. For this reason, the embedded MW imaging (E-MWI) method is proposed for breast cancer detection. Firstly, the Software Define Radio (SDR) software is implemented on an embedded platform to reduce cost and miniaturize system. Secondly, an amplitude-based spatial domain confocal algorithm is used in E-MWI system to simplify the system calibration by avoiding signal phase acquisition. To verify the proposed method, experiments platform is set up using the E-MWI prototype system and a liquid breast phantom. The results show that the system successfully detects the target with different sizes.

Keywords

Embedded MW imaging Software Defined Radio Confocal algorithm 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.College of Information Science and TechnologyDonghua UniversityShanghaiChina
  2. 2.Engineering Research Center of Digitized Textile and Apparel Technology, Ministry of EducationShanghaiChina

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