Online High Resolution Stochastic Radiation Radar Imaging using Sparse Covariance Fitting

Yongchao Zhang, Deqing Mao, Yuanyuan Bu, Junjie Wu, Yulin Huang, Andreas Jakobsson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingResearchpeer-review

1 Citation (SciVal)

Abstract

Stochastic radiation radar (SRR) systems allow for the forming of radar images by transmitting stochastic signals to form the stochastic radiation field and thereby increase the target observation information to achieve high resolution imaging. In this paper, we examine the use of the online SParse Iterative Covariance-based Estimation (SPICE) algorithm to suppress the noise and improve the operational efficiency. The SPICE algorithm is based on a weighted covariance fitting criterion, and has recently been generalized to allow for an improved reconstruction performance. The used online extension can take advantage of echoes non-correlation along time, allowing for updating the imaging result through successive echo sequences. The simulation results verify the superior performance of the resulting estimator as compared to other recent SRR imaging methods.
Original languageEnglish
Title of host publicationIGARSS 2019
Subtitle of host publication2019 IEEE International Geoscience and Remote Sensing Symposium
Place of PublicationYokohama, Japan
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages8562-8565
Number of pages4
ISBN (Electronic)978-1-5386-9154-0
ISBN (Print)978-1-5386-9155-7
DOIs
Publication statusPublished - 2019 Nov 14
EventIGARSS 2019 : 2019 IEEE International Geoscience and Remote Sensing Symposium - Yokohama, Japan
Duration: 2019 Jul 282019 Aug 2

Conference

ConferenceIGARSS 2019
Country/TerritoryJapan
CityYokohama
Period2019/07/282019/08/02

Subject classification (UKÄ)

  • Signal Processing

Fingerprint

Dive into the research topics of 'Online High Resolution Stochastic Radiation Radar Imaging using Sparse Covariance Fitting'. Together they form a unique fingerprint.

Cite this