• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Update to the Hybrid Conditional Averaging Performance Prediction of the IMM Algorithm
【24h】

Update to the Hybrid Conditional Averaging Performance Prediction of the IMM Algorithm

机译：IMM算法的混合条件平均性能预测更新

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Traditionally the performance evaluation of a target tracking algorithm is accomplished via Monte Carlo simulations for each specific scenario of interest. For some applications, the time and computational resource requirements of performing the necessary simulations for algorithm design is excessive; so the need for performance prediction becomes paramount. One method of performance prediction developed during the early 1990s is the hybrid conditional averaging (HYCA) technique, which can be used to predict the performance of the interacting multiple model (IMM) algorithm. Applying the HYCA technique to the IMM algorithm as originally developed leads to poor performance prediction in certain situations. A new extension used in these circumstances is shown to lead to superior performance prediction without an increase in computational complexity compared with the originally developed algorithm for such situations.
机译：传统上，目标跟踪算法的性能评估是通过Monte Carlo仿真针对感兴趣的每个特定场景完成的。对于某些应用程序，执行算法设计所需的仿真所需要的时间和计算资源过多；因此，对性能预测的需求变得至关重要。 1990年代初期开发的一种性能预测方法是混合条件平均（HYCA）技术，该技术可用于预测交互多模型（IMM）算法的性能。将HYCA技术应用于最初开发的IMM算法会导致在某些情况下性能预测不佳。与在这种情况下最初开发的算法相比，在这些情况下使用的新扩展已显示出可实现出色的性能预测，而不会增加计算复杂性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号