Robust DOA estimation and tracking for integrated sensing and communication massive MIMO OFDM systems

作     者：Kui XU Xiaochen XIA Chunguo LI Wei XIE Jie LIU Rangang ZHU Huasen HE 

作者机构：College of Communications Engineering Army Engineering University of PLA School of Information Science and Engineering Southeast University School of Electronic Countermeasures National University of Defense Technology School of Information Science and Technology University of Science and Technology of China 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2023年第66卷第10期

页      面：278-296页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：supported in part by Natural Science Foundation of Jiangsu Province (Grant No. BK20201334),Natural Science Foundation of Jiangsu Province (Grant No. BK20200579) National Natural Science Foundation of China (Grant Nos. 62071485, 62271503, 62001513) Basic Research Project of Jiangsu Province (Grant No. BK20192002) 

主　　题：integrated sensing and communication massive multiple input multiple output (MIMO) orthogonal frequency-division multiplexing (OFDM) direction-of-arrival (DOA) estimation and tracking frame structure and pilot sequence 

摘      要：In this paper, we propose a robust direction-of-arrival(DOA) estimation and tracking scheme for a massive multiple input multiple output(MIMO) orthogonal frequency-division multiplexing(OFDM)system using integrated sensing and communication(ISAC). First, a frame structure is designed to enable integrated DOA estimation and tracking, as well as data transmission. Then, coherent combining and multipath combining methods are proposed as pilot signal preprocessing methods for robust DOA estimation and tracking. Finally, for ISAC massive MIMO-OFDM systems, a fast Fourier transform(FFT) algorithmbased robust DOA estimator design is proposed, including a preamble-based initial DOA estimation scheme and an embedded pilot-based DOA tracking scheme. The simulation results demonstrate that the proposed robust DOA estimation and tracking method can obtain accurate DOA estimation even when the signal-tonoise ratio is low. Furthermore, the estimation performance outperforms the conventional multiple signal classification(MUSIC) and estimation of signal parameters via rotational invariance technique(ESPRIT)methods.