Scholarlink

The sensor processing capacity has been constantly improved and detection information from multi-sensor should be accessed in order getting better combat situations while the single sensor can’t meet the information requirements. To improve the accuracy of the information, the measure error of every single sensor should be considered. This paper proposes an efficient algorithm to optimize multi-sensor accuracy by the history measure data. Determine the estimation algorithm of multi-sensors history tracks by the trajectory shape. Optimize the sensor error by minimize the difference between correlated radar history tracks.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An Algorithm Based on History Data for Multi-sensors Error Intelligent Correction

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Hao Wang,
  • Rongjun Yang,
  • Tangxing Liu,
  • Xuantong Yu,
  • Chentao Wu,
  • Chaofan Zheng

摘要

The sensor processing capacity has been constantly improved and detection information from multi-sensor should be accessed in order getting better combat situations while the single sensor can’t meet the information requirements. To improve the accuracy of the information, the measure error of every single sensor should be considered. This paper proposes an efficient algorithm to optimize multi-sensor accuracy by the history measure data. Determine the estimation algorithm of multi-sensors history tracks by the trajectory shape. Optimize the sensor error by minimize the difference between correlated radar history tracks.