太赫兹感知通信一体化波形设计与信号处理

doi:10.11959/j.issn.1000-436x.2022015

通信学报 ›› 2022, Vol. 43 ›› Issue (2): 76-88.doi: 10.11959/j.issn.1000-436x.2022015

太赫兹感知通信一体化波形设计与信号处理

余显斌¹^,², 吕治东¹, 李涟漪¹, Nazar Muhammad Idrees¹, 张鹿¹

¹ 浙江大学信息与电子工程学院，浙江杭州 310027
² 之江实验室，浙江杭州 311121

修回日期:2021-11-24 出版日期:2022-02-25 发布日期:2022-02-01
作者简介:余显斌（1976-），男，湖北咸宁人，博士，浙江大学教授、博士生导师，主要研究方向为太赫兹光子学、光纤通信、毫米波/太赫兹技术及其应用
吕治东（1998-），男，吉林临江人，浙江大学硕士生，主要研究方向为太赫兹感知通信一体化技术
李涟漪（1999-），女，吉林吉林人，浙江大学硕士生，主要研究方向为太赫兹感知通信一体化技术
Nazar Muhammad Idrees（1979-），男，巴基斯坦人，博士，浙江大学在站博士后，主要研究方向为太赫兹无线通信信号处理、基于OFDM的通信感知一体化等
张鹿（1993-），男，安徽亳州人，浙江大学副研究员、博士生导师，主要研究方向为光子太赫兹通信与感知、光子AI计算、光通信与光网络
基金资助:
国家重点研发计划基金资助项目(2020YFB1805700);国家自然科学基金资助项目(62101483);浙江省自然科学基金资助项目(LQ21F010015);之江实验室重大基金资助项目(2020LC0AD01)

Waveform design and signal processing for terahertz integrated sensing and communication

Xianbin YU¹^,², Zhidong LYU¹, Lianyi LI¹, Muhammad Idrees Nazar¹, Lu ZHANG¹

¹ College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
² Zhejiang Lab, Hangzhou 311121, China

Revised:2021-11-24 Online:2022-02-25 Published:2022-02-01
Supported by:
The National Key Research and Development Program of China(2020YFB1805700);The National Natural Science Foundation of China(62101483);The Natural Science Foundation of Zhejiang Province(LQ21F010015);The Foundation of Zhejiang Lab(2020LC0AD01)

摘要/Abstract

摘要：

太赫兹波段感知通信一体化技术能够在提高数据传输速率和感知分辨率的同时，有效降低硬件资源和频谱资源的消耗。首先，简要介绍了感知通信一体化及太赫兹通信、感知的现状。然后，分别从感知和通信的角度讨论了一体化波形设计及优化策略，同时分析了两类信号接收机的信号处理算法，并实验展示了一种97 GHz基于 OFDM 信号的一体化系统，对系统的距离、速度和通信等性能进行了测试。最后，总结和展望了太赫兹感知通信一体化的技术难题和未来研究方向。

关键词: 太赫兹, 感知通信一体化, 波形设计, 信号处理算法

Abstract:

Integrated sensing and communication (ISaC) in the terahertz band can efficiently reduce the consumption of hardware and spectrum resources, while improving the transmission data rate and sensing resolution.Firstly, the development status of ISaC, terahertz communication and sensing were briefly introduced.Then, the strategy of waveform design and optimization for ISaC and the receiving signal processing algorithms were presented.As an example, an OFDM ISaC system operating at 97 GHz was experientially demonstrate, and the performance of ranging, speed and communication were all evaluated in the experiment.Finally, the key issues and research directions of future terahertz ISaC development were discussed.

Key words: terahertz, integrated sensing and communication, waveform design, signal processing algorithm

中图分类号:

TN92

余显斌, 吕治东, 李涟漪, Nazar Muhammad Idrees, 张鹿. 太赫兹感知通信一体化波形设计与信号处理[J]. 通信学报, 2022, 43(2): 76-88.

Xianbin YU, Zhidong LYU, Lianyi LI, Muhammad Idrees Nazar, Lu ZHANG. Waveform design and signal processing for terahertz integrated sensing and communication[J]. Journal on Communications, 2022, 43(2): 76-88.

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参数名	参数值
采样频率F_s/GHz	6
载波频率f_c/ GHz	97
子载波间隔Δf/ MHz	11.718 75
有源子载波数N_ac	300
带宽B/ GHz	3.9
有源子载波带宽/ GHz	3.51
带宽利用率	90%
OFDM符号持续时间/μs	0.106 6
循环前缀	128个点，0.021 3 μs
上采样因子	20
距离分辨率/m	0.042
速度分辨率/(m·s^-1)	0.79

技术挑战	解决方案	优点	缺点	时间	文献
信号传播损伤严重	码本搜索算法	高频谱效率，低计算复杂度	信道良好时计算成本高	2018年	文献[59]
	数字接收机算法链	有效应对信号损伤，高精度低失真补偿	非实时处理	2020年	文献[82]
	ADMM-Net	有效降低各类干扰，计算误差和成本低于传统ADMM算法	要求干扰稀疏	2021年	文献[87]
	FSST+CNN	提取特征丰富	计算量较高，要求信噪比高	2020年	文献[92]
	RamNet	提取特征丰富，对信噪比要求不高	计算量高	2021年	文献[93]
	Ku波段通信+毫米波感知	硬件利用效率高，信号频域分离降低处理难度	信号功率低	2021年	文献[95]
信号功率衰减严重	MPSK-LFM	实现简单，采用高功率放大器	通信速率不高，功率泄露明显	2020年	文献[35]
	最小化最坏情况系统发射功率	显著降低对系统发射功率要求，对不同场景具有一定的稳健性	难以实现联合最优，优化问题求解复杂	2018年	文献[53]
	OCDM	通信速率高，相比OFDM误码率更低	实现复杂度较高，模糊函数旁瓣较高	2018年	文献[66]
	利用深度学习和半正定规划设计恒模波形	有效求解非凸问题，低SNR条件下实现高SINR	计算量较高	2017年	文献[74]
波束斜视效应明显	模拟/数字预编码	减轻波束斜视，提高传输速率	需要特定天线结构	2021年	文献[60]
	基向量逼近最优预编码/组合器	有效减轻波束斜视	只能实现渐进最优	2021年	文献[61]

太赫兹感知通信一体化波形设计与信号处理

Waveform design and signal processing for terahertz integrated sensing and communication

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