A study of compressed sensing single-snapshot DOA estimation based on the RIPless theory

Tianyi Jia, Haiyan Wang, Xiaohong Shen

Research output: Contribution to journalLetterpeer-review

8 Scopus citations

Abstract

We explore the RIPless theory for the analysis of single snapshot DOA estimation with uniform linear array using the compressed sensing technique. Starting with a sparse signal recovery model constructed for single snapshot DOA estimation, we prove the isotropy property and incoherence property are fulfilled for the estimation problem. A vital proposition is obtained using the RIPless theory, which establishes the fundamental relationship of the probability of recovery with the number of targets and sensors.

Original languageEnglish
Pages (from-to)531-537
Number of pages7
JournalTelecommunication Systems
Volume74
Issue number4
DOIs
StatePublished - 1 Aug 2020

Keywords

  • Compressed sensing
  • DOA estimation
  • RIPless theory

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