Reconfigurable array design to realize principal component analysis (PCA)-based microwave compressive sensing imaging system

Min Liang, Ying Li, Huan Meng, Mark A Neifeld, Hao Xin

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

This letter presents a design of a principal component analysis (PCA)-based microwave compressive sensing system using reconfigurable array. An iterative beam synthesis process is used to realize the required radiation patterns obtained from PCA. In this letter, a human body scanning system is studied as an example to investigate the compressive sensing performance using PCA-generated radiation patterns. Optical images are used as surrogates for the RF images in implementation of the training PCA dictionary. Compared to random-patterns-based compressive sensing system, this PCA-based compressive sensing system requires fewer numbers of measurements to achieve the same performance.

Original languageEnglish (US)
Article number7001630
Pages (from-to)1039-1042
Number of pages4
JournalIEEE Antennas and Wireless Propagation Letters
Volume14
DOIs
Publication statusPublished - 2015

    Fingerprint

Keywords

  • Compressive sensing
  • principal component analysis
  • reconfigurable array

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this