Abstract
In this paper, based on the processing results of measured forward scattering clutter data in bistatic radar, using the Gaussian distribution model, Exponential distribution model, Power-Law distribution model, high order Auto-Regressive model and so on, the probability density distribution and power spectrum mathematical model are obtained, and the impact of clutter statistic models on target detection performance is analytically derived from statistic theory. According to the estimated clutter probability distribution, power spectrum model and generalized matching filter theory, the forward scattering clutter in bistatic radar is effectively suppressed and the target motion parameters are accurately estimated from the measured clutter data.
| Original language | English |
|---|---|
| Pages (from-to) | 2675-2686 |
| Number of pages | 12 |
| Journal | Science China Information Sciences |
| Volume | 53 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - Dec 2010 |
Keywords
- Bistatic radar
- Clutter power spectrum model
- Clutter probability density function
- Forward scattering surface clutter
- Target detection performance