Improved Multi Target Tracking in MIMO Radar System Using New Hybrid Monte Carlo–PDAF Algorithm
This article deals with the multi-target tracking problem (MTT) in MIMO radar systems. As a result, this problem is now seen as a new technological challenge. Thus, in different tracking scenarios, measurements from sensors are usually subject to a complex data association issue. The MTT data associ...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2021
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/75873 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Improved Multi Target Tracking in MIMO Radar System Using New Hybrid Monte Carlo–PDAF Algorithm
- PDAF: A Phonetic Debiasing Attention Framework For Speaker Verification
- Hybrid Cognition for Target Tracking in Cognitive Radar Networks
- Massive MIMO Radar for Target Detection
- Searching Efficient Deep Architectures for Radar Target Detection using Monte-Carlo Tree Search
- Moving Target Monte Carlo
- Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling