Name
Abstract | ||
|---|---|---|
Nowadays radar systems have been facing with the disordered electromagnetic spectrum access and utilization in shared spectrum environments with radio communication systems. Numerous waveform recognition methods have been studied with feature engineering and conventional machine learning (ML) for intelligent radar systems, but they are critically challenged by practical problems of scalability and... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/LCOMM.2021.3095278 | IEEE Communications Letters |
Keywords | DocType | Volume |
Radar,Convolution,Radar remote sensing,Feature extraction,Signal resolution,Computer architecture,Signal to noise ratio | Journal | 25 |
Issue | ISSN | Citations |
9 | 1089-7798 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thien Huynh-The | 1 | 94 | 21.54 |
| Cam-Hao Hua | 2 | 45 | 11.22 |
| Van-Sang Doan | 3 | 3 | 4.84 |
| quocviet pham | 4 | 137 | 20.33 |
| Dong-Seong Kim | 5 | 64 | 28.80 |