Name
Abstract | ||
|---|---|---|
We propose tensor-based four-dimensional sub-Nyquist radar that samples in spectral, spatial, Doppler, and temporal domains at sub-Nyquist rates while simultaneously recovering the target's direction, Doppler velocity, and range without loss of native resolutions. We formulate the radar signal model wherein the received echo samples are represented by a partial third-order tensor. We then apply co... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LSP.2018.2885617 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Doppler effect,Doppler radar,Frequency modulation,Receiving antennas,Transmitters | Matching pursuit,Radar,Doppler radar,Pattern recognition,Tensor,Artificial intelligence,Frequency modulation,Nyquist–Shannon sampling theorem,Doppler effect,Compressed sensing,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 2 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siqi Na | 1 | 0 | 0.68 |
| Kumar Vijay Mishra | 2 | 164 | 19.95 |
| Yimin Liu | 3 | 158 | 25.46 |
| Y.C. Eldar | 4 | 265 | 22.07 |
| Xiqin Wang | 5 | 290 | 33.88 |