Unequal-interval Federated Filter Algorithm for Multi-source Information Based on Filter Modified Covariance
Fang Zhen · Piezoelectrics and Acoustooptics · 2014
For the problem of no-reset federated filter overall sub-optimal fusion accuracy and the adjustment of unequal-interval filter for multi-source information,an unequal-interval federated filter algorithm based on sub-filter modified covariance correction for multi-source information is proposed.In the case of barely raising computer load, the filter's fusion accuracy is improved by modifying sub-filter's covariance.Meanwhile,the INS/CNS/SAR/TER integrated unequal-interval filter implementation scheme for high altitude long endurance(HALE)UAV is designed. The state updating method of the master and sub-filter is proposed,thus the adaptation problem of unequal-interval federated filter algorithm for multi-source information is solved at the same time can keep the good performance of fault-tolerance with no reset mode.The simulation results show that these algorithms have an obvious improvement of fusion accuracy compared with the traditional scheme.