文献类型：期刊文献

英文题名：Low Complexity Path Layer Message Passing Detector for CP-OTFS Systems in Dual Fractional Channels

作者：Liang, Yuanyi[1]; Xu, Renhe[1]; Yuan, Weina[1]; Hao, Li[2]

机构：[1] East China University of Science and Technology, School of Information Science and Engineering, Shanghai, 200237, China; [2] School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, China

年份：2025

卷号：15

起止页码：210

外文期刊名：IEEE Wireless Communications Letters

收录：EI(收录号：20254319398230)

语种：英文

外文关键词：Bit error rate - Communication channels (information theory) - Computational complexity - Doppler effect - Error statistics - Graph algorithms - Matrix algebra - Mobile telecommunication systems - Optical communication - Signal detection - Transmissions

摘要：Orthogonal Time Frequency Space (OTFS) modulation is a promising candidate for improving the communication reliability in high-mobility environments. However, in practical scenarios, the delay-Doppler (DD) domain resolution is not fine enough due to bandwidth limitations, resulting in dual fractional channels that bring higher complexity to signal detection. In this letter, we reformulate the DD domain input-output relationship in matrix form for dual fractional Cyclic Prefix-OTFS (CP-OTFS) systems, and prove that the path layer channel matrix is orthogonal under arbitrary waveform. Based on this property, we propose a low complexity path layer message passing detector. This algorithm effectively increase the received signal power and channel sparsity by equalizing the DD domain received signals, and converts the factor graph into a point-to-point transmission scheme based on path layer signal, ensuring timely update of messages. Simulation results show that the proposed algorithm has lower computational complexity and faster convergence speed compared to the baseline algorithm, and has similar bit error rate (BER) performance as the message passing (MP) algorithm. ? 2012 IEEE.