索引调制OTFS的高效信号检测器设计

IF 7.5 2区 计算机科学 Q1 TELECOMMUNICATIONS
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引用次数: 0

摘要

本文设计了用于正交时频空间(OTFS)调制与索引调制(IM)系统的高效信号检测器。首先,针对 OTFS-IM 系统研究了基于最小均方误差(MMSE)的线性均衡器及其相应的软辅助决策。为了进一步提高性能,提出了逐矢量辅助信息传递(VV-MP)检测器及其相关的软决策,其中每个 IM 符号都被视为用于信息计算和传递的整个矢量。仿真结果表明,与 OTFS 和带 IM 的正交频分复用(OFDM)系统相比,依赖于所提出的检测器的 OTFS-IM 系统能够提供可观的误码率(BER)性能提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient signal detector design for OTFS with index modulation

In this paper, efficient signal detectors are designed for Orthogonal Time Frequency Space (OTFS) modulation with Index Modulation (IM) systems. Firstly, the Minimum Mean Squared Error (MMSE) based linear equalizer and its corresponding soft-aided decision are studied for OTFS-IM. To further improve the performance, a Vector-by-Vector-aided Message Passing (VV-MP) detector and its associated soft-decision are proposed, where each IM symbol is considered an entire vector utilized for message calculation and passing. Simulation results are shown that the OTFS-IM system relying on the proposed detectors is capable of providing considerable Bit Error Rate (BER) performance gains over the OTFS and Orthogonal Frequency Division Multiplex (OFDM) with IM systems.

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来源期刊
Digital Communications and Networks
Digital Communications and Networks Computer Science-Hardware and Architecture
CiteScore
12.80
自引率
5.10%
发文量
915
审稿时长
30 weeks
期刊介绍: Digital Communications and Networks is a prestigious journal that emphasizes on communication systems and networks. We publish only top-notch original articles and authoritative reviews, which undergo rigorous peer-review. We are proud to announce that all our articles are fully Open Access and can be accessed on ScienceDirect. Our journal is recognized and indexed by eminent databases such as the Science Citation Index Expanded (SCIE) and Scopus. In addition to regular articles, we may also consider exceptional conference papers that have been significantly expanded. Furthermore, we periodically release special issues that focus on specific aspects of the field. In conclusion, Digital Communications and Networks is a leading journal that guarantees exceptional quality and accessibility for researchers and scholars in the field of communication systems and networks.
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