OFDM SAR multiple targets image reconstruction using MUSIC-LSE algorithm

Mohammed D. Buhari, Gui Y. Tian, Rajesh Tiwari, Ruslee Sutthaweekul, Ali Muqaibel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In Synthetic Aperture Radar (SAR) image reconstruction, the quality of the image depends on the range and cross range resolution to resolve multiple target positions. If the distance between the targets is less than both SAR resolutions, the radar imaged them as one single target. To overcome this challenge, Orthogonal Frequency Division Multiplexing (OFDM) SAR has been proposed to improve the image resolution. However the image quality degrades in lower boundary conditions. In this paper, we propose the use of Multiple Signal Classification (MUSIC) algorithm to estimate the signal Direction of Arrival (DoA) and Least Square Estimation (LSE) algorithm to estimate the phase history. The Cross-range Profile Reconstruction (CPR) is reconstructed using the phase history and combined with Range Profile Reconstruction (RPR) to form the image. Simulation results show that the proposed MUSIC-LSE SAR approach gives a higher image resolution compared to the LSE-SAR imaging. The approach also shows that by estimating the signal DoA and then apply LSE, the radar can separate the targets even at distances below the range and cross-range resolution without necessarily increasing the bandwidth.

Original languageEnglish
Title of host publication2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages42-46
Number of pages5
ISBN (Electronic)9781509029204
DOIs
StatePublished - 15 Nov 2016
Externally publishedYes
Event4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 - Aachen, Germany
Duration: 19 Sep 201623 Sep 2016

Publication series

Name2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016

Conference

Conference4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
Country/TerritoryGermany
CityAachen
Period19/09/1623/09/16

Keywords

  • CPR
  • LSE algorithm
  • MUSIC algorithm
  • Orthogonal Frequency Division Multiplexing (OFDM)
  • RPR
  • Synthetic Aperture Radar (SAR)

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