Tensor Decomposition-Based Channel Estimation and Sensing for Millimeter Wave MIMO-OFDM V2I Systems  

作　　者：WANG Jilin ZENG Xianlong YANG Yonghui PENG Lin LI Lingxiang 

机构地区：[1]National Key Laboratory of Wireless Communications,University of Electronic Science and Technology of China,Chengdu 611731,China [2]ZTE Corporation,Shenzhen 518057,China [3]State Key Laboratory of Mobile Network and Mobile Multimedia Technology,Shenzhen 518055,China

出　　处：《ZTE Communications》2024年第3期56-68,共13页中兴通讯技术（英文版）

摘　　要：An integrated sensing and communication(ISAC)scheme for a millimeter wave(mmWave)multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM)Vehicle-to-Infrastructure(V2I)system is presented,in which both the access point(AP)and the vehicle are equipped with large antenna arrays and employ hybrid analog and digital beamforming structures to compensate the path loss,meanwhile compromise between hardware complexity and system performance.Based on the sparse scattering nature of the mmWave channel,the received signal at the AP is organized to a four-order tensor by the introduced novel frame structure.A CANDECOMP/PARAFAC(CP)decomposition-based method is proposed for time-varying channel parameter extraction,including angles of departure/arrival(AoDs/AoAs),Doppler shift,time delay and path gain.Then leveraging the estimates of channel parameters,a nonlinear weighted least-square problem is proposed to recover the location accurately,heading and velocity of vehicles.Simulation results show that the proposed methods are effective and efficient in time-varying channel estimation and vehicle sensing in mmWave MIMOOFDM V2I systems.

关 键 词：MIMO-OFDM Vehicle-to-Infrastructure(V2I)systems ISAC time-varying channel estimation CANDECOMP/PARAFAC(CP)decomposition 

分 类 号：TN928[电子电信—通信与信息系统]