Invention Grant
- Patent Title: Encapsulating electromagnetic propagation model features to create composable prediction models
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Application No.: US17649671Application Date: 2022-02-01
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Publication No.: US11722232B2Publication Date: 2023-08-08
- Inventor: Preston Fairfax Marshall
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Honigman LLP
- Agent Brett A. Krueger
- Main IPC: H04B17/391
- IPC: H04B17/391

Abstract:
A method for encapsulating electromagnetic propagation model features to create composable prediction models includes obtaining electromagnetic (EM) impediment data for a geographical area. The method also includes dividing the geographical area into a plurality of tiles. Each tile of the plurality of tiles includes a geometric shape that encompasses a distinct non-overlapping portion of the geographical area. For each tile of the plurality of tiles, the method also includes determining one or more composable EM attenuation values for EM signals propagating through the distinct non-overlapping portion of the geographical area encompassed by the tile using the EM impediment data and caching the one or more composable EM attenuation values determined for the corresponding tile.
Public/Granted literature
- US20220247503A1 Encapsulating Electromagnetic Propagation Model Features to Create Composable Prediction Models Public/Granted day:2022-08-04
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