OTFS-based ISAC for active channel sensing and low-altitude multi-target detection

CHEN Jiabin; WANG Chaowei; PANG Mingliang; YAN Shuai; XU Lexi; JIANG Fan; ZHANG Junyi

doi:10.11959/j.issn.2096-3750.2024.00429

您当前的位置：

首页 >

文章列表页 >

OTFS-based ISAC for active channel sensing and low-altitude multi-target detection

Theory and Technology | 更新时间：2025-03-13

- OTFS-based ISAC for active channel sensing and low-altitude multi-target detection
- Chinese Journal on Internet of Things Vol. 8, Issue 3, Pages: 91-101(2024)
- 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：
- 基金信息：
  
  The Natural Science Foundation of Chongqing(CSTB2023NSCQ-LZX0118);Beijing University of Posts and Telecommunications Excellent Ph.D. Students Foundation(CX2023139)
- DOI：10.11959/j.issn.2096-3750.2024.00429
  CLC：
- Received：27 August 2024，
  
  Revised：2024-09-15，
  
  Published：10 September 2024
- 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

KAUSHIK A , SINGH R , LI M , et al . Integrated sensing and communications for IoT: synergies with key 6G technology enablers [J ] . IEEE Internet of Things Magazine , 2024 , 7 ( 5 ): 136 - 143 .

CUI Z C , HU J , CHENG J , et al . Multi-domain NOMA for ISAC: utilizing the DOF in the delay-Doppler domain [J ] . IEEE Communications Letters , 2023 , 27 ( 2 ): 726 - 730 .

LIU S F , LI M , LIU R , et al . Joint transmit beamforming and receive filter design for cooperative multi-static ISAC networks [J ] . IEEE Wireless Communications Letters , 2024 , 13 ( 6 ): 1700 - 1704 .

JING X Y , LIU F , MASOUROS C , et al . ISAC from the sky: UAV trajectory design for joint communication and target localization [J ] . IEEE Transactions on Wireless Communications , 2024 , 23 ( 10 ): 12857 - 12872 .

CHENG X , DUAN D L , GAO S J , et al . Integrated sensing and communications (ISAC) for vehicular communication networks (VCN) [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 23 ): 23441 - 23451 .

YU Z Y , HU X L , LIU C X , et al . Location sensing and beamforming design for IRS-enabled multi-user ISAC systems [J ] . IEEE Transactions on Signal Processing , 2022 , 70 : 5178 - 5193 .

WEI Z Q , QU H Y , WANG Y , et al . Integrated sensing and communication signals toward 5G-A and 6G: a survey [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 13 ): 11068 - 11092 .

LU S H , LIU F , LI Y X , et al . Integrated sensing and communications: recent advances and ten open challenges [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 11 ): 19094 - 19120 .

ZHANG J A , RAHMAN M L , WU K , et al . Enabling joint communication and radar sensing in mobile networks—a survey [J ] . IEEE Communications Surveys & Tutorials , 2022 , 24 ( 1 ): 306 - 345 .

STURM C , WIESBECK W . Waveform design and signal processing aspects for fusion of wireless communications and radar sensing [J ] . Proceedings of the IEEE , 2011 , 99 ( 7 ): 1236 - 1259 .

LI Y X , LIU F , DU Z , et al . Frame structure and protocol design for sensing-assisted NR-V2X communications [J ] . IEEE Transactions on Mobile Computing , 2024 , PP( 99 ): 1 - 17 .

吕明 , 陈昊 , 丰光银 , 等 . 面向通信感知一体化的信号波形设计综述 [J ] . 无线电通信技术 , 2024 , 50 ( 3 ): 469 - 483 .

LYU M , CHEN H , FENG G Y , et al . Survey on integrated sensing and communication waveform design [J ] . Radio Communications Technology , 2024 , 50 ( 3 ): 469 - 483 .

ZHANG Q X , SUN H Z , GAO X Y , et al . Time-division ISAC enabled connected automated vehicles cooperation algorithm design and performance evaluation [J ] . IEEE Journal on Selected Areas in Communications , 2022 , 40 ( 7 ): 2206 - 2218 .

XIE Z Y , LI R , JIANG Z , et al . Optimal scheduling policy for time-division joint radar and communication systems: cross-layer design and sensing for free [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 23 ): 20746 - 20760 .

XIANG L P , XU K , HU J , et al . Robust NOMA-assisted OTFS-ISAC network design with 3-D motion prediction topology [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 9 ): 15909 - 15918 .

ZHONG N Y , LI P X , BAI W L , et al . Spectral-efficient frequency-division photonic millimeter-wave integrated sensing and communication system using improved sparse LFM sub-bands fusion [J ] . Journal of Lightwave Technology , 2023 , 41 ( 23 ): 7105 - 7114 .

DONG B Y , JIA J L , TAO L , et al . Photonic-based W-band integrated sensing and communication system with flexible time- frequency division multiplexed waveforms for fiber-wireless network [J ] . Journal of Lightwave Technology , 2024 , 42 ( 4 ): 1281 - 1295 .

ZHANG R Y , SHIM B , YUAN W J , et al . Integrated sensing and communication waveform design with sparse vector coding: low sidelobes and ultra reliability [J ] . IEEE Transactions on Vehicular Technology , 2022 , 71 ( 4 ): 4489 - 4494 .

YUAN W J , WEI Z Q , LI S Y , et al . Orthogonal time frequency space modulation: Part III: ISAC and potential applications [J ] . IEEE Communications Letters , 2023 , 27 ( 1 ): 14 - 18 .

WEI Z Q , LI S Y , YUAN W J , et al . Orthogonal time frequency space modulation: Part I: fundamentals and challenges ahead [J ] . IEEE Communications Letters , 2023 , 27 ( 1 ): 4 - 8 .

XIA X C , XU K , WANG Y R , et al . Achieving better accuracy with less computations: a delay-Doppler spectrum matching assisted active sensing framework for OTFS based ISAC systems [J ] . IEEE Transactions on Wireless Communications , 2024 , 23 ( 6 ): 6204 - 6220 .

ZEGRAR S E , HAIF H , ARSLAN H . OTFS-based ISAC for super-resolution range-velocity profile [J ] . IEEE Transactions on Communications , 2024 , 72 ( 7 ): 3934 - 3946 .

LI S Y , YUAN W J , LIU C , et al . A novel ISAC transmission framework based on spatially-spread orthogonal time frequency space modulation [J ] . IEEE Journal on Selected Areas in Communications , 2022 , 40 ( 6 ): 1854 - 1872 .

WU Y Z , HAN C , CHEN Z . An energy-efficient DFT-spread orthogonal time frequency space system for terahertz integrated sensing and communication [C ] // Proceedings of the ICC 2022 - IEEE International Conference on Communications . Piscataway : IEEE Press , 2022 : 3484 - 3489 .

YANG Y R , PAN Y C , LIU X Q , et al . Barycenter calibration with high order spectra of windowed delay-Doppler signals for OTFS based ISAC systems [J ] . IEEE Transactions on Signal Processing , 2024 , 72 : 2450 - 2466 .

ZIELIŃSKI T P , KARPOVICH P , ABRATKIEWICZ K , et al . Wireless OTFS-based integrated sensing and communication for moving vehicle detection [J ] . IEEE Sensors Journal , 2024 , 24 ( 5 ): 6573 - 6583 .

LI X W , WANG Q S , ZENG M , et al . Physical-layer authentication for ambient backscatter-aided NOMA symbiotic systems [J ] . IEEE Transactions on Communications , 2023 , 71 ( 4 ): 2288 - 2303 .

LI X W , ZHAO M L , ZENG M , et al . Hardware impaired ambient backscatter NOMA systems: reliability and security [J ] . IEEE Transactions on Communications , 2021 , 69 ( 4 ): 2723 - 2736 .

ALI HASSANI S , VAN LIEMPD B , BOURDOUX A , et al . Joint in-band full-duplex communication and radar processing [J ] . IEEE Systems Journal , 2022 , 16 ( 2 ): 3391 - 3399 .

WU Y Z , HAN C , CHEN Z . DFT-spread orthogonal time frequency space system with superimposed pilots for terahertz integrated sensing and communication [J ] . IEEE Transactions on Wireless Communications , 2023 , 22 ( 11 ): 7361 - 7376 .

Views

455

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM

A Multi-dimensional Energy Efficiency Scheme Based on Interference Modeling in UAV Integrated Sensing and Communication

Related Author

JI Chenxing

LI Peng

ZHANG Tianxiang

GAO Yulong

SUN Jun

XU Jintong

Related Institution

School of Electronics and Information Engineering, Harbin Institute of Technology

Beijing Research Institute of Telemetry

School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications

⁰