Federated Particle Filter Technology Based on JIDS/SINS/GPS Integrated Navigation System
2013 ◽
Vol 347-350
◽
pp. 1544-1548
Keyword(s):
In multi-sensor integrated navigation systems, when sub-systems are non-linear and with Gaussian noise, the federated Kalman filter commonly used generates large error or even failure when estimating the global fusion state. This paper, taking JIDS/SINS/GPS integrated navigation system as example, proposes a federated particle filter technology to solve problems above. This technology, combining the particle filter with the federated Kalman filter, can be applied to non-linear non-Gaussian integrated system. It is proved effective in information fusion algorithm by simulated application, where the navigation information gets well fused.
2018 ◽
Vol 41
(5)
◽
pp. 1290-1300
2015 ◽
Vol 2015
◽
pp. 1-12
◽
2013 ◽
Vol 411-414
◽
pp. 912-916
◽
2014 ◽
Vol 568-570
◽
pp. 970-975
◽
2013 ◽
Vol 756-759
◽
pp. 2142-2146
◽
2009 ◽
Vol 224
(3)
◽
pp. 327-346
◽