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Phaseless Terahertz Coded-Aperture Imaging for Sparse Target Based on Phase Retrieval Algorithm

Authors
  • Peng, Long1
  • Luo, Chenggao1
  • Deng, Bin1
  • Wang, Hongqiang1
  • Chen, Shuo1
  • Dong, Jun
  • 1 (S.C.)
Type
Published Article
Journal
Sensors
Publisher
MDPI AG
Publication Date
Oct 23, 2019
Volume
19
Issue
21
Identifiers
DOI: 10.3390/s19214617
PMID: 31652860
PMCID: PMC6864836
Source
PubMed Central
Keywords
License
Green

Abstract

Phaseless terahertz coded-aperture imaging (PL-TCAI) is a novel radar computational imaging method that utilizes the coded aperture and the incoherent detector array to achieve forward-looking and high-resolution imaging without relying on relative motion. In this paper, we propose a more reasonable and compact architecture for the PL-TCAI system and derive the imaging model of PL-TCAI based on the random frequency-hopping signal. Since most phase retrieval algorithms for PL-TCAI utilize only the intensity of echo signals to accurately reconstruct the target, excessive measurement samples are usually required. In order to reduce the number of measurement samples required for imaging, this paper proposes a sparse Wirtinger flow algorithm with optimal stepsize (SWFOS) by using the sparse prior of the target. The specific procedures of the SWFOS algorithm include the support recovery, initialization by truncated spectral method, iteration via gradient descent scheme, hard threshold operation, and stepsize optimization of iteration. Numerical simulations are performed, and the results show that the SWFOS algorithm not only has good performance for the PR problem, but can also sharply reduce the number of measurement samples required for imaging in the PL-TCAI system.

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