Least square image reconstruction method for sparse array radar system

Iakov Chernyak, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We demonstrate a method to arrange antennas for the 2-D sparse array system for 3-dimensional imaging for NDI application. A radar system consists from eight transmitters and eight receivers. It uses principle of uniformly distributed middle points between each pair of transmitter and receiver antennas to form equilateral triangles from them. Least square method as the image reconstruction method is implemented with support of calculations on graphical processor unit. Mathematical description of data preparation for the L2 norm fitting is shown. 8 transmitter and 8 receiver antennas were arranged on 2-D array of 60cm × 60cm area, and image reconstruction method were tested by a SFCW radar, that operates at frequency from 3814 MHz to 8067 MHz. From the images we obtained, we can distinguish target in 1m × 1m area with a resolution about 5 cm.

Original languageEnglish
Title of host publicationISAP 2016 - International Symposium on Antennas and Propagation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages632-633
Number of pages2
ISBN (Electronic)9784885523137
Publication statusPublished - 2017 Jan 17
Event21st International Symposium on Antennas and Propagation, ISAP 2016 - Ginowan, Okinawa, Japan
Duration: 2016 Oct 242016 Oct 28

Publication series

NameISAP 2016 - International Symposium on Antennas and Propagation

Other

Other21st International Symposium on Antennas and Propagation, ISAP 2016
CountryJapan
CityGinowan, Okinawa
Period16/10/2416/10/28

Keywords

  • Calculation on graphical processor unit
  • Least square method
  • Sparse array
  • Step Frequency Continuous Wave Radar

ASJC Scopus subject areas

  • Radiation
  • Computer Networks and Communications
  • Instrumentation

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