Low-Complexity Vector-by-Vector Detector for AFDM-IM Systems by Reconstructing Sparse Channel Matrix

IF 4.4 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-06-06 DOI:10.1109/LCOMM.2025.3577262

Xiaoshan Wang;Lixia Xiao;Qu Luo;Jiaxi Zhou;Miaowen Wen;Tao Jiang

引用次数: 0

Abstract

In this letter, a low-complexity vector-by-vector aided expectation propagation (VV-EP) detector is proposed for affine frequency division multiplexing (AFDM) with index modulation (IM) through reconstructing the sparse effective channel matrix. Specifically, the low-correlation elements of the effective channel matrix are set to zero by a preset threshold. Based on the reconstructed sparse matrix, approximate inverse operation can be implemented by Cholesky decomposition to reduce computational complexity. Moreover, the lower triangular matrix is constructed iteratively to improve detection performance. Simulation results indicate that the designed VV-EP algorithm is capable of reducing complexity by about 90% with a negligible performance loss compared to the orthogonal approximate message passing (OAMP) detector.

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基于稀疏信道矩阵重构的AFDM-IM系统低复杂度矢量检测器

本文通过重构稀疏有效信道矩阵，提出了一种低复杂度矢量辅助期望传播（VV-EP）检测器，用于带索引调制的仿射频分复用（AFDM）。具体来说，有效信道矩阵的低相关元素通过预设阈值设置为零。在重构稀疏矩阵的基础上，通过Cholesky分解实现近似逆运算，降低了计算复杂度。此外，迭代构造下三角矩阵以提高检测性能。仿真结果表明，与正交近似消息传递（OAMP）检测器相比，所设计的VV-EP算法能够将复杂度降低约90%，而性能损失可以忽略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.