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

作　　者：陈佳彬 王朝炜[1,2] 庞明亮 闫帅 徐乐西 江帆 张君毅 CHEN Jiabin;WANG Chaowei;PANG Mingliang;YAN Shuai;XU Lexi;JIANG Fan;ZHANG Junyi(School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China;Key Laboratory of Universal Wireless Communications,Ministry of Education,Beijing 100876,China;Research Institute of China United Network Communications Co.,Ltd.,Beijing 100048,China;School of Communications and Information Engineering&School of Artificial Intelligence,Xi’an University of Posts and Telecommunications,Xi’an 710121,China)

机构地区：[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

出　　处：《物联网学报》2024年第3期91-101,共11页Chinese Journal on Internet of Things

基　　金：重庆市自然科学基金创新发展联合基金项目(No.CSTB2023NSCQ-LZX0118);北京邮电大学博士生创新基金项目(No.CX2023139)。

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。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 esti‐mation accuracy.Additionally,the convergence of the proposed algorithm is also validated to be overhead saving.

关 键 词：通感一体化 正交时频空调制 信道感知与目标探测 并行干扰消除 

分 类 号：TN929.5[电子电信—通信与信息系统]