Simulating Correlated K-Distributed Clutter
| Autor: | Christopher Baker, William Kenneth Stafford, Ellis Humphreys, M. Antoniou |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
020301 aerospace & aeronautics
Spatial correlation Gaussian surface 020206 networking & telecommunications 02 engineering and technology Term (time) Correlation symbols.namesake Amplitude 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering symbols Clutter Rotation (mathematics) Algorithm Mathematics Interpolation |
| Zdroj: | 2020 IEEE International Radar Conference (RADAR). |
| DOI: | 10.1109/radar42522.2020.9114864 |
| Popis: | A method of simulating the temporal and spatial correlation of k-distributed sea clutter has been developed. Long term correlation is simulated by interpolation and rotation of a correlation Gaussian surface which is then transformed a Gamma “texture” surface by a MNLT (Memoryless Nonlinear Transform). Short term correlation is simulated by a weighted local average. This provides a fast, flexible means of generating realistic correlated K-distributed data (both IQ and amplitude). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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