Abstract
Direction of arrival (DOA) estimation is a sparse reconstruction problem. However, conventional orthogonal matching pursuit (OMP) may fail to identify the correct atoms since the redundant dictionary composed of the direction vectors is highly coherent. To mitigate the coherence problem, in this paper, we propose a modified OMP by constructing data dependent sensing dictionary for sparse reconstruction in the noisy case. Simulation results are presented to demonstrate the superior performance of the proposed algorithm for DOA estimation.
| Original language | English |
|---|---|
| Pages (from-to) | 5230-5234 |
| Number of pages | 5 |
| Journal | International Journal of Physical Sciences |
| Volume | 6 |
| Issue number | 22 |
| Publication status | Published - 2011 Oct 2 |
| Externally published | Yes |
Keywords
- Direction of arrival (DOA) estimation
- Orthogonal matching pursuit (OMP)
- Redundant dictionary
- Sensing dictionary
- Sparse reconstruction
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)