• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE Joint International Information Technology and Artificial Intelligence Conference >One intelligent algorithm for estimation of TDOA and FDOA
【24h】

One intelligent algorithm for estimation of TDOA and FDOA

机译：TDOA和FDOA估计一种智能算法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The calculation is large to estimate the TDOA and FDOA with cross ambiguity function. Existing algorithms which are based on the ergodic theory have poor real-time performance. To solve this problem, the genetic algorithm is proposed with improvements based on the characteristics of cross ambiguity function. With the self-adapting mutation probability by following the convergence extent of the population and multiple population initializations, the diversity of the population is effectively improved to prevent the algorithm into a local optimum. The simulation results show that the computational efficiency of the improved algorithm, compared with the existing algorithms, is greatly improved, and the TDOA/FDOA estimation results can quickly be obtained.
机译：计算很大，以估计具有交叉模糊函数的TDOA和FDOA。 基于ergodic理论的现有算法具有较差的实时性能。 为了解决这个问题，基于交叉模糊函数的特性提出了遗传算法。 随着通过遵循人口的收敛程度和多种群体初始化的自适应突变概率，有效地改善了人口的多样性，以防止算法进入局部最佳。 仿真结果表明，与现有算法相比，改进算法的计算效率大大提高，并且可以快速获得TDOA / FDOA估计结果。

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