基于OTFS的通感一体化主动信道感知与低空多目标探测

陈佳彬; 王朝炜; 庞明亮; 闫帅; 徐乐西; 江帆; 张君毅

doi:10.11959/j.issn.2096-3750.2024.00429

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基于OTFS的通感一体化主动信道感知与低空多目标探测

理论与技术 | 更新时间：2025-03-13

- 基于OTFS的通感一体化主动信道感知与低空多目标探测
- OTFS-based ISAC for active channel sensing and low-altitude multi-target detection
- 物联网学报 2024年8卷第3期页码：91-101
- 作者机构：
  
  1.北京邮电大学电子工程学院，北京 100876
  2.泛网无线通信教育部重点实验室，北京 100876
  3.中国联合网络通信有限公司研究院，北京 100048
  4.西安邮电大学通信与信息工程学院（人工智能学院），陕西西安 710121
- 作者简介：
  
  [ "陈佳彬（2001‒ ），男，北京邮电大学电子工程学院硕士生，主要研究方向为通感一体化、卫星通信、多址接入技术等。" ]
  [ "王朝炜（1982‒ ），男，博士，北京邮电大学电子工程学院、泛网无线通信教育部重点实验室副教授，主要研究方向为下一代移动通信技术、无线传感器与物联网技术等。" ]
  [ "庞明亮（1998‒ ），男，北京邮电大学电子工程学院博士生，主要研究方向为卫星通信、多址接入技术和资源管理等。" ]
  [ "闫帅（2002‒ ），男，北京邮电大学电子工程学院硕士生，主要研究方向为通感一体化、卫星通信、多址接入技术等。" ]
  [ "徐乐西（1983‒ ），男，博士，中国联合网络通信有限公司研究院高级工程师，主要从事大数据算法研究及行业应用研究工作。" ]
  [ "江帆（1982‒ ），女，博士，西安邮电大学通信与信息工程学院（人工智能学院）教授，主要研究方向为基于人工智能的边缘计算及缓存技术、D2D通信技术、5G超密集异构网络中的无限资源管理等。" ]
  [ "张君毅（1969‒ ），男，博士，北京邮电大学电子工程学院副教授，主要研究方向为物理电子学和可见光通信等。" ]
- 基金信息：
  
  重庆市自然科学基金创新发展联合基金项目(CSTB2023NSCQ-LZX0118);北京邮电大学博士生创新基金项目(CX2023139)
- DOI：10.11959/j.issn.2096-3750.2024.00429
  中图分类号：
- 收稿日期：2024-08-27，
  
  修回日期：2024-09-15，
  
  纸质出版日期：2024-09-10
- 稿件说明：
移动端阅览
陈佳彬,王朝炜,庞明亮等.基于OTFS的通感一体化主动信道感知与低空多目标探测[J].物联网学报,2024,08(03):91-101.

CHEN Jiabin,WANG Chaowei,PANG Mingliang,et al.OTFS-based ISAC for active channel sensing and low-altitude multi-target detection[J].Chinese Journal on Internet of Things,2024,08(03):91-101.
陈佳彬,王朝炜,庞明亮等.基于OTFS的通感一体化主动信道感知与低空多目标探测[J].物联网学报,2024,08(03):91-101. DOI： 10.11959/j.issn.2096-3750.2024.00429.

CHEN Jiabin,WANG Chaowei,PANG Mingliang,et al.OTFS-based ISAC for active channel sensing and low-altitude multi-target detection[J].Chinese Journal on Internet of Things,2024,08(03):91-101. DOI： 10.11959/j.issn.2096-3750.2024.00429.

摘要

利用正交时频空调制（OTFS

orthogonal time frequency space）作为传输波形的通信感知一体化（ISAC

integrated sensing and communication）系统具有更高的通信资源利用率，成为解决频谱资源短缺的关键技术。随着环境中感知目标数的增加，基站接收到的由多个感知回波信号叠加而成的信号功率差异不明显，采用传统多目标信道感知与目标探测算法会造成误差传递和累积，从而影响系统感知信道参数和目标探测的性能。针对以上问题，提出了一种基于最大似然估计器的多目标信道参数检测与目标探测算法，实现对感知参数估计和目标探测精确度的提升。具体而言，通过对接收到的叠加信号采用并行干扰消除（PIC

parallel interference cancellation）算法，利用从上一轮迭代中得到的结果重建信号，并从接收信号中减去重建的信号，从而提高在感知参数估计和目标探测时回波信号的信干噪比，实现最大似然估计器性能的提升。仿真结果表明，所提算法相较于传统算法能够实现更准确的信道估计和目标探测，并且所提算法具有较好的收敛性，能够有效减少时间开销。

Abstract

The integrated sensing and communication(ISAC) system based on orthogonal time frequency space(OTFS) as the transmission waveform is recognized for its higher efficiency of resources

making it one of the key technologies for addressing the shortage of spectrum resources. As the number of sensing targets increases

the difference in signal power received by the base station from the superposition of multiple sensing echo signals becomes less significant. Traditional multi-target channel sensing and target detection algorithms result in error transmission and accumulation

thereby degrading the performance of the system's channel sensing and target detection. A maximum likelihood estimator based multi-objective channel parameter sensing and target detection algorithm was proposed to improve the estimation accuracy of the sensed channel and target parameters. Specifically

the parallel interference cancellation(PIC) algorithm was adopted to the received superimposed signals. The signals were reconstructed using the results obtained from the previous iteration and were subtracted from the received signals. The signal-to-interference-plus-noise ratio of the echo signals in the estimation of the sensed channel and target parameters was improved

so the performance of the maximum likelihood estimator was improved. Simulation results show that the proposed algorithm outperforms the traditional ones in terms of channel estimation accuracy. Additionally

the convergence of the proposed algorithm is also validated to be overhead saving.

关键词

Keywords

references

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