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Research on Distributed Data Fusion Navigation Benchmark Selection Technology Based on Error Dispersion

  • Chuang Song,
  • Jinrong Fan,
  • Mingrui Hao,
  • Xujun Guan,
  • Xiaomeng Bai

摘要

Benchmarks, as key information sources in distributed data fusion navigation systems, have precision that directly determines the overall performance of distributed data fusion navigation. Therefore, to better select suitable benchmarks, this paper proposes a distributed data fusion navigation benchmark selection technology based on error dispersion. This technology can calculate the real-time positioning error dispersion of current benchmarks and select appropriate benchmarks for distributed data fusion navigation calculations by comparing the real-time error dispersion of various benchmarks in the formation. This improves the accuracy of low-precision aircraft in the formation and verifies the effectiveness of the algorithm.