室内定位与延伸轨迹地图构造和5G中的注意力机制
Kexin Yang1, Chao Yu1, Saibin Yao2
1The Engineering Center of SHMEC for Space Information and GNSS, East China Normal University, Shanghai 200241, China.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
本研究引入了基于注意力的框架,用于使用集成传感和通信 (ISAC) 的室内定位. 它通过基于轨迹的数据增强来提高数据质量,提高移动设备定位精度.
科学领域:
- 无线通信无线通信
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 传感技术 传感技术
背景情况:
- 集成传感和通信 (ISAC) 对未来的物联网至关重要,它可以同时传输和传感数据.
- 室内定位性能受到收集数据的质量和细粒度的限制.
- 现有的方法在ISAC环境中与数据限制作斗争.
研究的目的:
- 为成本效益高的室内指纹定位提出基于注意力的框架.
- 通过解决数据质量约束来提高室内定位的准确性.
- 利用基于轨迹的数据增强来改善ISAC中的传感服务.
主要方法:
- 开发了一种新的基于轨迹的数据增强 (TDA) 方法.
- 利用一个有条件的瓦斯斯坦生成对抗网络 (CWGAN) 来合成指纹.
- 采用路径生成算法用于扩展轨迹地图构建.
- 应用了多头注意力模型,用于局部化的方向受约束的辅助损失.
主要成果:
- 在真正的5G环境中实现了1.09米的平均室内定位误差.
- 与现有的室内定位方法相比,至少显示了34%的更高准确性.
- 验证了基于注意力的框架和TDA方法的有效性.
结论:
- 提出的基于注意力的框架显著提高了ISAC系统的室内定位精度.
- 基于轨迹的数据增强有效地合成了关键的指纹数据,用于增强传感.
- 这种方法为室内物联网设置中精确的移动设备定位提供了具有成本效益的解决方案.
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