Near-field joint estimation of multi-targets’position and velocity in a terahertz MIMO-OFDM system based on tensor decomposition  

作　　者：Ke LIU Shengfu ZHAO Weixin CHEN Zhen WANG Lingxiang LI Zhi CHEN Qiang XU 

机构地区：[1]National Key Laboratory of Wireless Communications,University of Electronic Science and Technology of China,Chengdu 611731,China [2]School of Electrical Engineering and Information,Southwest Petroleum University,Chengdu 610500,China

出　　处：《Frontiers of Information Technology & Electronic Engineering》2024年第12期1708-1722,共15页信息与电子工程前沿(英文版)

基　　金：Project supported by the National Natural Science Foundation of China(Nos.62271121 and 62301465)。

摘　　要：This paper investigates the joint estimation of multi-targets’position and velocity for a terahertz multi-input multi-output(MIMO)orthogonal frequency division multiplexing(OFDM)system operating in the near field based on tensor decomposition.The waveforms transmitted from shared antennas carry communication messages and are orthogonal to each other in the frequency domain.The estimation of the position and velocity of multiple targets in the considered near-field scenario is challenging because it involves spherical wavefronts.A signal model based on spherical wavefronts enables higher resolution on spatial position,which,if properly designed,can be used to improve the estimation accuracy.In this paper,we propose a CANDECOMP/PARAFAC(CP)decomposition-based near-field localization(CP-NFL)algorithm for the joint estimation of the position and velocity of multiple targets.In our proposed method,the received signal is expressed as a third-order tensor;based on its factor matrices we convert the original non-convex optimization problem into a convex one and solve it with CVX tools.Our analysis reveals that the uniqueness in CP decomposition can be guaranteed and the computational complexity of our proposed method is linear to the sum of the third powers of the number of sub-carriers,OFDM symbols,antennas,and targets.Numerical results show that our proposed method has a clear advantage over the existing method in terms of estimation accuracy and computational complexity.

关 键 词：TERAHERTZ Multi-input multi-output orthogonal frequency division multiplexing(MIMO-OFDM) Near-field localization(NFL) Velocity estimation Tensor decomposition 

分 类 号：TN95[电子电信—信号与信息处理]