Abstract
A new synergy decision method for radar and infrared search and track (IRST) data fusion is proposed to solve such problems, as how to decrease opportunities of radar suffering from being locked-on by adverse electronic support measures (ESM), how to retrieve range information of the target during radar off, and how to detect the maneuver of the target. Firstly, polynomials used to predict target motion states are constructed. Secondly, a set of discriminants for detecting target maneuver are established by comparing the predicted values with the observations from IRST. Thirdly, a set of decisions are presented. Lastly, simulation is performed on the given scenario to test the validity of the method.
| Original language | English |
|---|---|
| Pages (from-to) | 229-233 |
| Number of pages | 5 |
| Journal | Journal of Beijing Institute of Technology (English Edition) |
| Volume | 11 |
| Issue number | 3 |
| State | Published - Sep 2002 |
| Externally published | Yes |
Keywords
- Approximation
- Data fusion
- Electromagnetic covertness
- IRST
- Multi-sensor
- Polynomial
- Radar
- Synergy decision
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