发表机构
Indian Institute of Technology Kanpur; Indian Institute of Technology Jodhpur（坎普尔印度理工学院; 焦特普尔印度理工学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对双选择性DCO-OTFS MIMO VLC系统，提出基于仿射预编码叠加训练序列的架构，并开发数据辅助变分贝叶斯推断方法，实现联合CSI估计与数据检测，显著降低NMSE、导频开销和SER。
AI 中文摘要
针对采用任意发射-接收脉冲成形的循环前缀(CP)辅助多输入多输出(MIMO)直流偏置正交时频空间(DCO-OTFS)可见光通信(VLC)系统，开发了一种基于正交仿射预编码叠加训练序列(AP-STS)的架构。在每个发射发光二极管(LED)的延迟-多普勒(DD)域中，数据和导频符号矩阵经过仿射预编码(AP)并叠加，随后建立了输入-输出符号的端到端DD域关系。在每个接收光电二极管(PD)处，通过采用正交预编码矩阵提取解耦的导频和数据符号，从而消除了相互干扰。此外，基于期望最大化(EM)技术，构思了一种新颖的导频辅助(PA)变分贝叶斯推断(PA-VBI)技术，用于MIMO DCO-OTFS VLC系统的信道状态信息(CSI)估计。随后，提出了一种基于数据辅助(DA)变分贝叶斯推断(DA-VBI)的联合CSI估计和数据检测技术，该技术有益地利用估计的数据符号来改进CSI估计。此外，还为MIMO DCO-OTFS VLC系统推导了贝叶斯克拉美-罗下界(BCRLBs)。最后，仿真结果表明，所提方法在归一化均方误差(NMSE)、导频开销和符号错误率(SER)方面均表现出优越性能。
英文摘要
An orthogonal affine-precoded superimposed training sequences (AP-STS)-based architecture is developed for the cyclic prefix (CP)-aided multiple input multiple output (MIMO) direct-current-biased orthogonal time frequency space (DCO-OTFS) visible light communication (VLC) systems relying on arbitrary transmitter-receiver pulse shaping. The data and pilot symbol matrices are affine-precoded (AP) and superimposed in the delay-Doppler (DD)-domain for each transmit light-emitting diode (LED), followed by the development of an end-to-end DD-domain relationship for the input-output symbols. At the receiver for each receiver photodiode (PD), the decoupled pilot and data symbol are extracted by employing orthogonal precoder matrices, which eliminates the mutual interference. Furthermore, a novel pilot-aided (PA) variational Bayesian inference (PA-VBI) technique is conceived for the channel state information (CSI) estimation of MIMO DCO-OTFS VLC systems based on the expectation-maximization (EM) technique. Subsequently, a data-aided (DA) variational Bayesian inference (DA-VBI)-based joint CSI estimation and data detection technique is proposed, which beneficially harnesses the estimated data symbols for improved CSI estimation. Moreover, the Bayesian Cramer-Rao lower bounds (BCRLBs) are also derived for MIMO DCO-OTFS VLC systems. Finally, simulation results demonstrate that the proposed method yields superior performance in terms of normalized mean-square-error (NMSE), pilot overhead, and symbol error-rate (SER).
