Comprehensive evaluation algorithm of SINS performance testing based on three-level multi-source information fusion structure

In view of the problems in SINS performance test, such as uncertainty and too many indices etc., a comprehensive evaluation algorithm of the SINS performance test is proposed based on three-level multi-source information fusion structure. The proposed index system of the SINS performance test includes accuracy, stability and reliability performance testing index and 16 performance testing bottom subindices. Many experts are invited to evaluate the credibility of the bottom subindex data in order to obtain the fuzzy assessment corresponding to subindex and construct the mass function of each expert's evidence. The structural framework of the SINS performance testing and evaluation is built. The improved combination rule based on local conflict distribution can be used to obtain the results of SINS performance comprehensive testing and evaluation by three-level evidence fusion. The simulation results show that, compared with the traditional Dempster-Shafer theory (DST) method, the proposed algorithm can not only evaluate the SINS performance, but also enhance the reliability of the evidence combination results.