A multi-user signal detection method for an interleaved frequency division multiple access system

CN122932894APending Publication Date: 2026-10-16XIDIAN UNIV
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Patent Information

Application Number
CN202610901228.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-22
Publication Date
2026-10-16

AI Technical Summary

Technical Problem

[0009]有鉴于此，本申请的实施例提出了一种面向交织频分多址接入系统的多用户信号检测方法，旨在解决现有交织频分多址接入系统中多用户检测算法计算复杂度过高、难以适应大规模接入场景，以及在多时隙传输场景下缺乏高效多用户检测算法的技术问题，可以实现在保持近贝叶斯最优检测性能的同时显著降低计算复杂度，同时提高性能增益

Benefits of technology

[0014]本申请的实施例提出的一种面向交织频分多址接入系统的多用户信号检测方法，首先接收在当前时隙内获取的包含多个用户信息的接收信号，并将接收信号输入至多用户跨域记忆近似消息传递接收机中以进行迭代检测；然后，基于各用户的先验估计信号及先验估计方差，在接收机中执行时域记忆线性检测，得到各用户的时域后验估计信号及其时域估计方差；之后，对时域后验估计信号及其时域估计方差执行逐用户交织频分复用解调，以将其转换为符号域估计信号及其符号域估计方差；接着，基于符号域估计信号及其符号域估计方差，在接收机中执行符号域非线性检测，得到各用户的符号域后验估计信号及对应的符号域后验估计方差；最后，对符号域后验估计信号执行逐用户交织频分复用调制，并将其作为新的先验估计信号及先验估计方差执行时域记忆线性检测，以进行下一次迭代，直至满足预设迭代停止条件，以输出各用户的检测结果；由于本方案中时域记忆线性检测包括递归匹配滤波、逐用户正交化处理和阻尼处理，递归匹配滤波利用历史迭代信息进行匹配滤波，进而避免了传统MU-CD-OAMP接收机中高维矩阵求逆，进而能够解决现有IFDMA系统多用户检测算法计算复杂度过高、难以适应海量用户大规模接入场景的技术问题；由于本方案中的符号域非线性检测包括逐用户的后验概率检测处理和正交化处理，能够保证估计误差的渐进独立同分布高斯性，同时能够保持近贝叶斯最优检测性能，并显著降低计算复杂度，提高性能收益；此外，由于本申请的架构为时域记忆线性检测、跨域变换、符号域非线性检测，能够适应于多种不同时隙的传输场景；基于此，本方案能够解决现有交织频分多址接入系统中多用户检测算法计算复杂度过高、难以适应大规模接入场景，以及在多时隙传输场景下缺乏高效多用户检测算法的技术问题，可以实现在保持近贝叶斯最优检测性能的同时显著降低计算复杂度，同时提高性能增益。

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Abstract

The application relates to the technical field of communication, in particular to a multi-user signal detection method for an interleaved frequency division multiple access system, which comprises the following steps: based on prior estimation signals and variances of each user, performing time-domain memory linear detection to obtain time-domain posterior estimation signals and variances of each user, and converting the time-domain posterior estimation signals and variances into symbol-domain estimation signals and variances; based on the symbol-domain estimation signals and variances, performing symbol-domain nonlinear detection to obtain symbol-domain posterior estimation signals and variances of each user, and taking the symbol-domain posterior estimation signals and variances as new prior estimation signals and prior estimation variances to perform time-domain memory linear detection, so as to perform the next iteration until a preset iteration stopping condition is met, and then outputting detection results of each user. The method can solve the technical problems that the multi-user detection algorithm in the existing interleaved frequency division multiple access system has a high calculation complexity and is difficult to adapt to a large-scale access scene, and that there is a lack of an efficient multi-user detection algorithm in a multi-time slot transmission scene.
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