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一个新的算术优化PDR算法用于智能手机
1School of Geomatics, Liaoning Technical University, Fuxin 123000, China.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
一个新的行人死亡计算算法 (PDR) 的算术优化算法有效地优化了智能手机的系统参数. 这个AO-PDR算法实现了准确的行人定位,平均误差为0.2893m.
科学领域:
- 计算机科学 计算机科学
- 导航系统 导航系统
- 算法优化的算法优化
背景情况:
- 步行者死亡计算 (PDR) 系统需要准确的参数设置以获得可靠的性能.
- 现有的PDR算法在参数优化方面面临挑战,影响定位准确性.
研究的目的:
- 为智能手机提出一种新的算术优化PDR (AO-PDR) 算法.
- 优化PDR系统参数以提高准确性和效率.
主要方法:
- 开发了一个使用算术优化算法 (AOA) 的AO-PDR算法.
- 建立了一个基于定位错误,步骤偏差和步骤长度偏差的健身功能.
- 应用AOA来搜索步骤检测,长度估计和航向校正的最佳参数.
主要成果:
- AO-PDR算法高效准确地获得了最佳系统参数.
- 达到1.352的平均最佳健身,平均运行时间为164.85秒.
- 在不同的用户和设备中表现出高度的适应性,效率和稳定性,平均定位误差为0.2893m.
结论:
- AO-PDR算法有效地优化了PDR参数,从而提高了行人定位的准确性.
- 拟议的方法满足了基于行人位置的服务的准确性要求.
- AO-PDR为基于智能手机的行人导航提供了强大而高效的解决方案.
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