Fast FOCUSS method based on bi-conjugate gradient and its application to space-time clutter spectrum estimation

Gatai Bai, Ran Tao*, Juan Zhao, Xia Bai, Yue Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The focal underdetermined system solver (FOCUSS) is a powerful tool for sparse representation in complex underdetermined systems. This paper presents the fast FOCUSS method based on the bi-conjugate gradient (BICG), termed BICG-FOCUSS, to speed up the convergence rate of the original FOCUSS. BICGFOCUSS was specifically designed to reduce the computational complexity of FOCUSS by solving a complex linear equation using the BICG method according to the rank of the weight matrix in FOCUSS. Experimental results show that BICG-FOCUSS is more efficient in terms of computational time than FOCUSS without losing accuracy. Since FOCUSS is an efficient tool for estimating the space-time clutter spectrum in sparse recoverybased space-time adaptive processing (SR-STAP), we propose BICG-FOCUSS to achieve a fast estimation of the space-time clutter spectrum in mono-static array radar and in the mountaintop system. The high performance of the proposed BICG-FOCUSS in the application is demonstrated with both simulated and real data.

Original languageEnglish
Article number082302
JournalScience China Information Sciences
Volume60
Issue number8
DOIs
Publication statusPublished - 1 Aug 2017

Keywords

  • bi-conjugate gradient (BICG)
  • focal underdetermined system solver (FOCUSS)
  • space-time adaptive processing (STAP)
  • space-time clutter spectrum
  • sparse recovery (SR)

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