The detection probability modeling and application study of satellite-based AIS system

Compared with the traditional terrestrial AIS, satellite-based Automatic Identification System has the advantage of all-weather observation, wide covering, promising development and good application prospect. However, the low ship detection probability limits its performance and the traditional method of ship detection probability estimation mainly based on uniform ship distribution is too rough. In order to simulate the real situation more accurately, this paper proposed a non-uniformity model based on density functions of ship distribution, which was verified through comparisons between simulation and AIS data of "TianTuo 1". Then, some optimization based on the non-uniformity model was proposed and evaluated for enhancing ship detection probability. Simulation showed that great improvement on detection probability can be achieved in China South Sea. At last, it can be concluded that the proposed model is well match for evaluations in the practical applications and optimizations based on the model can be applied in the design of future enhanced satellite-based AIS system.