http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108693510-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S7-414 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S7-41 |
| filingDate | 2018-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108693510-B |
| titleOfInvention | A GPU-based fast simulation method for knowledge-aided airborne opportunistic position clutter |
| abstract | The invention belongs to the technical field of radar, and discloses a GPU-based knowledge-aided method for fast clutter simulation of airborne opportunistic positions. In the process of establishing a ground clutter echo model of airborne opportunistic arrays, digital elevation and ground cover classification are considered These two kinds of prior information are a method for acquiring ground clutter echoes from airborne opportunistic arrays that is closer to the real working scene of the radar. In addition, considering that the knowledge-aided opportunity position clutter simulation method based on prior knowledge involves a large number of matrix operations and requires a long simulation time, with the help of the super floating-point computing capability of modern high-performance GPUs, the knowledge-aided machine Speed up the clutter simulation method of carrier opportunistic position to improve the simulation efficiency of clutter data. |
| priorityDate | 2018-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID28718 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419513094 |
Total number of triples: 12.