Abstract
The spatial density of false measurements is known as clutter density in signal and data processing of targets. It is unknown in reality and its knowledge has a significant impact on the effective processing of targets. This paper presents a number of theoretically sound estimators for clutter density based on conditional mean, maximum likelihood, least squares and method of moments estimation. They are computationally highly efficient and require no knowledge of the probability distribution of the clutter density. They can be readily incorporated into a variety of tracking filters for performance improvement.
| Original language | English |
|---|---|
| Pages (from-to) | 559-571 |
| Number of pages | 13 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 3373 |
| DOIs | |
| State | Published - 1998 |
| Externally published | Yes |
| Event | Signal and Data Processing of Small Targets 1998 - Orlando, FL, United States Duration: 14 Apr 1998 → 16 Apr 1998 |
Keywords
- Clutter Density
- Estimation
- Target Tracking
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