Abstract
Single observation passive locating systems are widely used in the military and in navigation, aerospace and geophysics systems because they have a long response distance, can be easily hidden and are easily deployed. Howerve, current passive locating methods can not easily deal with uncertainties and asymmetry. Thus, a fuzzy passive location system was developed with a fuzzy single observation passive location algorithm. The algorithm is based on information for the phase-difference, the phase-difference rate of change and the Doppler frequency rate of change, with a fuzzy extended Kalman filter to locate and track the object. The algorithm can handle not only fuzzy uncertainties but also Gaussian systems. Simulations demonstrate that this approach is quite accurate.
| Original language | English |
|---|---|
| Pages (from-to) | 25-29+35 |
| Journal | Qinghua Daxue Xuebao/Journal of Tsinghua University |
| Volume | 51 |
| Issue number | 1 |
| State | Published - Jan 2011 |
| Externally published | Yes |
Keywords
- Fuzzy
- Kalman filter
- Passive location
- Trapezoidal distribution