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基于 ZP-OFDM 的联合通信与感知应用的 JMoM 和 SMC 联合多用户时间同步方法

Joint Method of Moments (JMoM) and Successive Moment Cancellation (SMC) Multiuser Time Synchronization for ZP-OFDM-Based Waveforms Applicable to Joint Communication and Sensing.

机构信息

Electrical and Computer Engineering Department, University of Alberta, 116 St. & 85 Ave., Edmonton, AB T6G 2R3, Canada.

Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD Delft, The Netherlands.

出版信息

Sensors (Basel). 2023 Mar 31;23(7):3660. doi: 10.3390/s23073660.

Abstract

It has been recently shown that zero padding (ZP)-orthogonal frequency-division multiplexing (OFDM) is a promising candidate for 6G wireless systems requiring joint communication and sensing. In this paper, we consider a multiuser uplink scenario where users are separated in power domain, i.e., non-orthogonal multiple access (NOMA), and use ZP-OFDM signals. The uplink transmission is grant-free and users are allowed to transmit asynchronously. In this setup, we address the problem of time synchronization by estimating the timing offset (TO) of all the users. We propose two non-data-aided (NDA) estimators, i.e., the joint method of moment (JMoM) and the successive moment cancellation (SMC), that employ the periodicity of the second order moment (SoM) of the received samples for TO estimation. Moreover, the coding assisted (CA) version of the proposed estimators, i.e., CA-JMoM and CA-SMC, are developed for the case of short observation samples. We also extend the proposed estimators to multiuser multiple-input multiple-output (MIMO) systems. The effectiveness of the proposed estimators is evaluated in terms of lock-in probability under various practical scenarios. Simulation results show that the JMoM estimator can reach the lock-in probability of one for the moderate range of Eb/N0 values. While existing NDA TO estimators in the literature either offer low lock-in probability, high computational complexity that prevents them from being employed in MIMO systems, or are designed for single-user scenarios, the proposed estimators in this paper address all of these issues.

摘要

最近已经表明,零填充(ZP)正交频分复用(OFDM)是需要联合通信和感知的 6G 无线系统的有前途的候选者。在本文中,我们考虑了一种多用户上行链路场景,其中用户在功率域中分离,即非正交多址(NOMA),并使用 ZP-OFDM 信号。上行传输是无授权的,并且允许用户异步传输。在这种设置中,我们通过估计所有用户的定时偏移(TO)来解决时间同步问题。我们提出了两种非数据辅助(NDA)估计器,即联合矩方法(JMoM)和连续矩消除(SMC),它们利用接收样本二阶矩(SoM)的周期性来进行 TO 估计。此外,为了短观测样本的情况,还提出了估计器的编码辅助(CA)版本,即 CA-JMoM 和 CA-SMC。我们还将提出的估计器扩展到多用户多输入多输出(MIMO)系统。在各种实际情况下,根据锁定概率评估了所提出的估计器的有效性。仿真结果表明,在中等 Eb/N0 值范围内,JMoM 估计器可以达到锁定概率为 1 的水平。而文献中的现有 NDA TO 估计器要么提供低锁定概率,要么提供高计算复杂度,这使得它们无法用于 MIMO 系统,要么是专为单用户场景设计的,而本文提出的估计器解决了所有这些问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/787b/10098903/9ef44150b688/sensors-23-03660-g001.jpg

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