Name
Abstract | ||
|---|---|---|
Cognitive radar is a new framework radar system proposed in 2003 and waveform selection is an important problem in this type of radar. In this paper, we design a knowledged-based (KB) waveform selector and use stochastic dynamic programming model to describe waveform selection problem. To solve the problem of curses of dimensionality, we use approximate dynamic programming (ADP) in our solution. This method is operative and efficient. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CSIE.2009.828 | CSIE (5) |
Keywords | Field | DocType |
approximate dynamic programming,interactive selective population,adp method,home page,cognitive radar,stochastic dynamic programming model,background music,knowledged-based waveform selector,radar applications,dynamic programming,composition system,optimal adaptive waveform selection,knowledge base,radar,stochastic dynamic programming,curse of dimensionality,sensors | Radar,Dynamic programming,Computer science,Waveform,Radar systems,Curse of dimensionality,Artificial intelligence,Radar signal processing,Stochastic programming,Machine learning,Cognitive radar | Conference |
Volume | ISBN | Citations |
5 | 978-0-7695-3507-4 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Wang | 1 | 1788 | 246.68 |
| jinkuan wang | 2 | 94 | 33.64 |
| Xin Song | 3 | 15 | 15.82 |
| Yinghua Han | 4 | 7 | 5.28 |