Name
Title | ||
|---|---|---|
DOA estimation of mixed coherent and uncorrelated targets exploiting coprime MIMO radar. |
Abstract | ||
|---|---|---|
We propose a new scheme to estimate the directions-of-arrival (DOAs) of mixed coherent and uncorrelated targets exploiting a collocated multiple-input multiple-output (MIMO) radar with transmit/receive coprime arrays. In the proposed scheme, the DOAs of the uncorrelated targets are first estimated using subspace-based methods, whereas those of the coherent targets are resolved using Bayesian compressive sensing. Compared with the previous works, the proposed approach achieves improved DOA estimation accuracy with a flexible coprime array configuration and may resolve more targets than the number of coarray elements. Theoretical analysis and simulation results validate the effectiveness of the proposed technique. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.dsp.2016.06.006 | Digital Signal Processing |
Keywords | Field | DocType |
Coprime array,Sum coarray,Direction-of-arrival estimation,Coherent targets,Bayesian compressive sensing | Radar,Pattern recognition,Subspace topology,Uncorrelated,MIMO,Artificial intelligence,Mimo radar,Coprime integers,Mathematics,Bayesian compressive sensing | Journal |
Volume | Issue | ISSN |
61 | C | 1051-2004 |
Citations | PageRank | References |
14 | 0.70 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Si Qin | 1 | 149 | 7.55 |
| Yimin Zhang | 2 | 1536 | 130.17 |
| Moeness Amin | 3 | 2909 | 287.79 |