Abstract | ||
---|---|---|
Joint direction-of-arrival (DOA), direction-of-departure (DOD), and Doppler estimation for multiple-input multiple-output (MIMO) radar usually are too time-consuming to implement because of high-dimensional searching procedures. This letter proposes a computational efficient algorithm for MIMO radar joint DOA, DOD, and Doppler estimation, which adopts an unstructured maximum likelihood method to s... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/LSP.2018.2879546 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Doppler effect,Direction-of-arrival estimation,US Department of Defense,Estimation,Unified modeling language,Computational complexity,MIMO radar | Radar,Invariance principle,Unified Modeling Language,Maximum likelihood,Algorithm,MIMO,Doppler effect,Mimo radar,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
26 | 1 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jian Xu | 1 | 224 | 55.55 |
Wen-Qin Wang | 2 | 35 | 7.95 |
Ronghua Gui | 3 | 13 | 2.56 |