Name
Abstract | ||
|---|---|---|
In this letter, we propose a new accurate approach for target localization in multiple-input multiple-output (MIMO) radars, which exploits the sparse spatial distribution of targets to reduce the sampling rate. We express the received signal of a MIMO radar in terms of the deviations of target parameters from the grid points in the form of a block sparse signal using the expansion around all the n... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2018.2791447 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
MIMO radar,Receivers,Transmitters,Sparse matrices,Additive noise,Compressed sensing | Pattern recognition,Algorithm,MIMO,Artificial intelligence,Grid,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 2 | 1070-9908 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Azra Abtahi | 1 | 1 | 1.03 |
| Saeed Gazor | 2 | 19 | 5.29 |
| Farokh Marvasti | 3 | 573 | 72.71 |