Name
Title | ||
|---|---|---|
One-dimension range profile identification of radar targets based on a linear interpolation neural network |
Abstract | ||
|---|---|---|
One-dimension range profile can reflect the precise geometric structure features of radar targets. The approach is comprehensively used for radar target identification (RTI), however it varies with target posture. This paper presents a novel neural network model—linear interpolation neural network (LINN) to solve the problem. LINN combines the variation information of one-dimension range profile with its invariant feature information. Simulation results show that this method greatly improves the target identification performance of radar systems. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S0165-1684(01)00083-4 | Signal Processing |
Keywords | Field | DocType |
Radar target identification,Neural network,One-dimension range profile,Linear interpolation | Radar,Computer vision,Invariant feature,Pattern recognition,Control theory,Interpolation,Radar systems,Feature extraction,Artificial intelligence,Linear interpolation,Artificial neural network,Mathematics | Journal |
Volume | Issue | ISSN |
81 | 10 | 0165-1684 |
Citations | PageRank | References |
2 | 0.45 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guangmin Sun | 1 | 21 | 3.40 |
| Xinming Zhang | 2 | 179 | 21.95 |
| Peng Wang | 3 | 2 | 0.45 |
| Weixian Liu | 4 | 9 | 1.70 |
| Jeffrey S. Fu | 5 | 3 | 4.86 |