Aiming at the significant multipath effect of GNSS at sea and the decline in observation data quality caused by various environmental factors, the performance of traditional Kalman filter algorithm is often significantly affected under such complex conditions. To improve the positioning accuracy in dynamic marine environment, we propose a robust Kalman filter baseline differential positioning model based on the IGGⅢ weighting function. Considering the marine platform has multiple receivers, distance constraint conditions are introduced to correct the filter solution, and the influence of constraint conditions on positioning results is analyzed. The model is verified through real measurement data. The results show that in long baseline differential positioning, the robust Kalman filter can effectively suppress gross error interference, and the positioning accuracy is significantly better than that of the traditional extended Kalman filter algorithm. After introducing distance constraints, the accuracy of positioning solution is further improved, verifying the effectiveness and practicality of this method in complex marine environments.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |