Integrity monitoring technology for satellite navigation is crucial to ensuring navigation safety in the aviation field.The advanced receiver autonomous integrity monitoring(ARAIM)algorithm distributes integrity risk probabilities and conti-nuity risk probabilities evenly among all visible satellites,resulting in a conservative vertical protection level and reduced availa-bility.This paper proposes an ARAIM availability optimization method based on dynamic particle swarm optimization(DPSO)algorithm.By optimizing the risk probability allocation process,the vertical protection level can be effectively reduced while the same integrity indicator,thus improving the availability of the ARAIM algorithm.The proposed method was verified and com-pared through experiments using six globally distributed MGEX(multi-GNSS experiment)stations,and the global availability of the algorithm was analyzed.In addition,to test the practicality of the method,satellite navigation test data for the entire flight phase of an aircraft was collected at the Shenyang Faku General Aviation Airport and the algorithm was experimentally validated.The experimental results from both static and dynamic data demonstrate that the adoption of allocation strategy based on DPSO algorithm can enhance the availability of ARAIM.The coverage rate of ARAIM availability worldwide,exceeding 99.5％,has increased from 98.2％to 99.7％.
关键词
GNSS/ARAIM/可用性/风险概率分配/垂直保护级/动态粒子群算法
Key words
GNSS/ARAIM/availability/risk probability allocation/vertical protection level/dynamic particle swarm optimiza-tion
维普
万方数据