Name
Abstract | ||
|---|---|---|
The largest difference between cognitive radar and other adaptive radar is the adaptivity of transmitter in cognitive radar. How to optimally decide or select the radar waveform for next transmission based on the observation of past radar returns is one of the important issues. In this paper, with the stochastic dynamic programming model of waveform selection, we use the method of temporal difference learning to solve this problem and realize the adaptivity of waveform selection. The simulation results show that the uncertainty of state estimation using temporal difference learning is less than that using fixed waveform. ©2009 IEEE. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CCCM.2009.5267516 | 2009 Second ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2009 |
Keywords | Field | DocType |
cognitive radar,stochastic dynamic programming,temporal difference learning,waveform selection,data mining,radar,dynamic programming,stochastic programming,uncertainty,doppler effect | Radar,Transmitter,Dynamic programming,Temporal difference learning,Computer science,Waveform,Algorithm,Artificial intelligence,Doppler effect,Stochastic programming,Machine learning,Cognitive radar | Journal |
Volume | Issue | ISSN |
4 | null | null |
ISBN | Citations | PageRank |
978-1-4244-4247-8 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wang Bin | 1 | 0 | 0.34 |
| jinkuan wang | 2 | 94 | 33.64 |
| Xin Song | 3 | 15 | 15.82 |
| Han Yinghua | 4 | 0 | 0.34 |