Particle filter-based estimation of inter-frequency phase bias for real-time GLONASS integer ambiguity resolution

摘要: GLONASS could hardly reach the positioning performance of GPS, especially for fast and real-time precise positioning. One reasons is phase inter-frequency bias (IFB) at receiver end prevents its integer ambiguity resolution. A number studies were carried out to achieve resolution GLONASS. Based on some revealed IFB characteristics, instance a linear function received carrier frequency L1 L2 have same in unit length, most recent methods recommend estimating rate together with ambiguities. However, since two sets parameters are highly correlated, as demonstrated previous studies, observations over several hours up 1 day needed even simultaneous GPS obtain reasonable solution. Obviously, these approaches cannot be applied Actually, it can that should also available single epoch if precisely known. In addition, closer value true value, larger fixing RATIO will be. this fact, paper, new approach developed estimate by means particle filtering likelihood derived from RATIO. This evaluated experimental data. For both static kinematic cases, results show rates estimated just data few epochs depending baseline length. The time cost normal PC controlled around s further reduced. With rate, immediately consequence, accuracy improved significantly level fixed Thus enables applications