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 language | English |
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Pages (from-to) | 531-537 |
Number of pages | 7 |
Journal | Telecommunication Systems |
Volume | 74 |
Issue number | 4 |
DOIs | |
State | Published - 1 Aug 2020 |
Keywords
- Compressed sensing
- DOA estimation
- RIPless theory