通过张量分析对毫米波大 MIMO-OFDM ISAC 系统进行近场通道参数估计和定位
Lanxiang Jiang1, Jingyi Guan1, Jianhe Du1
1School of Information and Communication Engineering, Communication University of China, Beijing 100024, China.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
本研究介绍了物联网 (IoT) 网络中集成传感和通信 (ISAC) 的新型张量算法. 该方法在近场毫米波 (mmWave) 大型MIMO系统中显著提高了通道参数估计和定位精度.
科学领域:
- 无线通信系统
- 信号处理
- 物联网 (物联网)
背景情况:
- 综合传感和通信 (ISAC) 是物联网的关键6G技术,提高频谱效率并减少资源使用.
- 毫米波 (mmWave) 和ISAC中的大规模MIMO扩展了近场区域,由于球形波面,挑战了传统的通道估计.
研究的目的:
- 在近场毫米波大规模MIMO OFDM ISAC系统中开发基于张量算法的准确通道参数估计和定位.
- 解决扩展近场环境中的常规算法的局限性.
主要方法:
- 将接收到的信号构成第三阶张量,以保持多维数据特征.
- 使用基于张量算法的二次泰勒扩展和张量因子矩阵结构进行估计和定位.
- 导出通道参数和位置的克拉梅尔-拉奥边界 (CRB),以确定误差的下限.
主要成果:
- 与现有方法相比,提出的基于张量算法在通道参数估计和定位准确性方面表现出卓越的性能.
- 该算法实现了接近衍生CRB的估计和定位错误.
- 与非最佳方法相比,在SNR=5dB时,用户终端 (UT) 定位精度显著提高了79.8%.
结论:
- 开发的基于张量算法有效地克服了用于物联网的毫米波大规模MIMO ISAC系统的近场挑战.
- 拟议的方法为未来6G网络的高精度传感和定位提供了强大的解决方案.
- 算法的准确性接近理论限制, 验证其有效性.
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