Abstract
A particle filter track-before-detect based on local search sampling is proposed to deal with the low sampling efficiency in high-dimension state space for the particle filter track-before-detect in a class of state partially observable system. After the update of the posterior state, by using the prior distribution information of the unobservable components, a kind of local search sampling strategy is executed around the estimate of observable components by a small amount of particles, which improves the efficiency of state sampling for particles. Simulation results show that the new algorithm obtains better detection and tracking performance.
| Original language | English |
|---|---|
| Pages (from-to) | 1912-1916 |
| Number of pages | 5 |
| Journal | Kongzhi yu Juece/Control and Decision |
| Volume | 27 |
| Issue number | 12 |
| State | Published - Dec 2012 |
Keywords
- Infrared dim target
- Local search sampling
- Particle filter
- State partially observable
- Track-before-detect