| Citation: | WANG Ershen, QU Pingping, PANG Tao, et al. Receiver autonomous integrity monitoring based on particle swarm optimization particle filter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(12): 2572-2578. doi: 10.13700/j.bh.1001-5965.2016.0362(in Chinese)
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Receiver autonomous integrity monitoring (RAIM) is an inseparable part of aviation satellite navigation receiver. Failures or faults due to malfunctions in the global navigation satellite system (GNSS) should be detected and isolated to keep the integrity of the GNSS intact. Because measurement noise does not follow the Gaussian distribution perfectly, a fault detection and exclusion algorithm using the particle swarm optimization particle filter (PSO-PF) was proposed. Failure detection was undertaken by checking the consistency. Through the measured data, the proposed algorithm was compared with that based on PF. The results show that under the condition of non-Gaussian measurement noise, the effectiveness of the proposed approach is illustrated in a problem of global positioning system (GPS) RAIM. Moreover, the performance of the proposed algorithm is better than that based on PF. Meanwhile, the results are instructive for the study of the autonomous integrity monitoring of BeiDou navigation satellite system (BDS).
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