Cargando…
Cognitive Radar Waveform Optimization Based on Mutual Information and Kalman filtering
A new strategy to optimizing the waveforms of cognitive radar under transmitted power constraint is presented. Our scheme is to enhance the performance of target estimation by minimizing the MSE (mean-square error) of the estimates of target scattering coefficients (TSC) based on Kalman filtering an...
Autores principales: | Yao, Yu, Zhao, Junhui, Wu, Lenan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513176/ https://www.ncbi.nlm.nih.gov/pubmed/33265742 http://dx.doi.org/10.3390/e20090653 |
Ejemplares similares
-
Waveform Optimization for Target Estimation by Cognitive Radar with Multiple Antennas
por: Yao, Yu, et al.
Publicado: (2018) -
Adaptive Waveform Design for MIMO Radar-Communication Transceiver
por: Yao, Yu, et al.
Publicado: (2018) -
Cognitive Frequency-Hopping Waveform Design for Dual-Function MIMO Radar-Communications System
por: Yao, Yu, et al.
Publicado: (2020) -
Kalman filtering techniques for radar tracking
por: Ramachandra, K V
Publicado: (2000) -
Mobile Location with NLOS Identification and Mitigation Based on Modified Kalman Filtering
por: Ke, Wei, et al.
Publicado: (2011)