Aimed at high reliability of the aeronautical positioning and the measurement noise feature of GPS receiver, the particle filter algorithm is applied to GPS receiver autonomous integrity monitoring(RAIM).Estimating the state precisely with particle filter algorithm and using the log-likelihood ratio as a consistency test statistics to achieve the fault detection and isolation, satellite fault detection is undertaken by checking the cumulative log-likelihood ratio(LLR)of system state with detection threshold.Meanwhile, a detailed description of the algorithm flow is given.Based on real GPS data, the proposed RAIM algorithm is tested.Experimental results demonstrate that the particle filter algorithm under conditions of non-Gaussian measurement noise can estimate the state of GPS system accurately, and the log-likelihood ratio as the statistic of consistency test can effectively detect and isolate false satellites.Therefore, experimental results validate the feasibility and validity of particle filtering and likelihood of ratio methods for RAIM.
WANG Er-shen, CAI Ming, PANG Tao
. Study of GPS receiver autonomous integrity monitoring algorithm[J]. Journal of Shenyang Aerospace University, 2014
, 31(1)
: 77
-81
.
DOI: 10.3969/j.issn.2095-1248.2014.01.016
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