A Random Process Model Useful for Describing Radar Clutter
Fuente:
arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909391529181184 |
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| author | Sangston, K. James |
| author_facet | Sangston, K. James |
| contents | We use the theory of Bernstein functions, completely monotonic functions, and Levy processes to define a positive random process $τ(t)$. For radar clutter one may think of $τ(t)$ as the instantaneous power of the scattered radar signal that is described by a compound-Gaussian model. Thus the results herein give a mechanism for defining and simulating a compound-Gaussian random process that can be used in various radar studies. We give several examples of the sample paths of this process. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_10263 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Random Process Model Useful for Describing Radar Clutter Sangston, K. James Signal Processing Probability We use the theory of Bernstein functions, completely monotonic functions, and Levy processes to define a positive random process $τ(t)$. For radar clutter one may think of $τ(t)$ as the instantaneous power of the scattered radar signal that is described by a compound-Gaussian model. Thus the results herein give a mechanism for defining and simulating a compound-Gaussian random process that can be used in various radar studies. We give several examples of the sample paths of this process. |
| title | A Random Process Model Useful for Describing Radar Clutter |
| topic | Signal Processing Probability |
| url | https://arxiv.org/abs/2411.10263 |