TY - JOUR
T1 - A fuzzy adaptive GPS/INS integrated navigation algorithm
AU - Liu, Mingwei
AU - Xiong, Fenfen
PY - 2011
Y1 - 2011
N2 - The statistical properties of the measurement noise of the missile-borne navigation system would vary under different actual working conditions. To address this issue, a fuzzy logic adaptive Kalman filtering based missile-borne GPS/INS integrated navigation algorithm is proposed in this paper. By monitoring the output parameter PDOP of the GPS receiver, the fuzzy logic adaptive controller is utilized to modify the measurement noise variance of the Kalman filter. Thus the Kalman filter can be adjusted to the optimal state, which eventually improves the accuracy of the integrated navigation system. The simulation results show that the proposed algorithm has strong adaptability to the time-varying measurement noise, and outperforms the conventional Kalman filter algorithm by providing more accurate solutions.
AB - The statistical properties of the measurement noise of the missile-borne navigation system would vary under different actual working conditions. To address this issue, a fuzzy logic adaptive Kalman filtering based missile-borne GPS/INS integrated navigation algorithm is proposed in this paper. By monitoring the output parameter PDOP of the GPS receiver, the fuzzy logic adaptive controller is utilized to modify the measurement noise variance of the Kalman filter. Thus the Kalman filter can be adjusted to the optimal state, which eventually improves the accuracy of the integrated navigation system. The simulation results show that the proposed algorithm has strong adaptability to the time-varying measurement noise, and outperforms the conventional Kalman filter algorithm by providing more accurate solutions.
KW - Fuzzy adaptive algorithm
KW - Integrated navigation
KW - Kalman filtering
KW - Position dilution of precision (PDOP)
UR - http://www.scopus.com/inward/record.url?scp=84055199105&partnerID=8YFLogxK
U2 - 10.1016/j.proeng.2011.08.123
DO - 10.1016/j.proeng.2011.08.123
M3 - Conference article
AN - SCOPUS:84055199105
SN - 1877-7058
VL - 15
SP - 660
EP - 664
JO - Procedia Engineering
JF - Procedia Engineering
T2 - 2011 International Conference on Advanced in Control Engineering and Information Science, CEIS 2011
Y2 - 18 August 2011 through 19 August 2011
ER -