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带载波频偏的 GSTFIM 系统的信号检测。

Signal Detection for GSTFIM Systems with Carrier Frequency Offset.

机构信息

The Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu 611731, China.

The 54th Research Institute of CETC, Shijiazhuang 050081, China.

出版信息

Sensors (Basel). 2022 Mar 26;22(7):2548. doi: 10.3390/s22072548.

DOI:10.3390/s22072548
PMID:35408162
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9002998/
Abstract

Generalized space-time-frequency index modulation (GSTFIM) inherits the drawbacks of the conventional orthogonal frequency-division multiplex (OFDM), such as being sensitive to carrier frequency offset (CFO). For a robust design against this problem, in this contribution, a novel construction of a message passing (MP)-aided detector is developed for GSTFIM systems to combat the influence of CFO, while offering a flexible tradeoff between transmission performance and computational complexity. Through complexity analysis and simulation results, we demonstrate that, in the context of CFO, with a careful design, the developed MP detector is capable of approaching traditional GSTFIM with maximum likelihood (ML) detection, and of offering better performance at lower complexity compared to its minimum mean-square-error (MMSE)-aided counterpart.

摘要

广义时频空索引调制(GSTFIM)继承了传统正交频分复用(OFDM)的缺点,例如对载波频率偏移(CFO)敏感。为了稳健设计以应对这个问题,在本研究中,针对 GSTFIM 系统,我们开发了一种新的消息传递(MP)辅助检测器的结构,以抵抗 CFO 的影响,同时在传输性能和计算复杂度之间提供灵活的折衷。通过复杂度分析和仿真结果,我们证明,在 CFO 环境下,通过精心设计,所开发的 MP 检测器能够接近具有最大似然(ML)检测的传统 GSTFIM,并与基于最小均方误差(MMSE)辅助的检测器相比,在更低的复杂度下提供更好的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/9c896c70962f/sensors-22-02548-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/16a6f55402e5/sensors-22-02548-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/f819d4325d96/sensors-22-02548-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/ed9ff40c18e2/sensors-22-02548-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/cf7f9f92df8c/sensors-22-02548-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/744da3e8f05b/sensors-22-02548-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/51a137fc77a1/sensors-22-02548-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/b6ab1094f5b7/sensors-22-02548-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/9c896c70962f/sensors-22-02548-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/7f1096ef05c3/sensors-22-02548-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/190c8348b0a4/sensors-22-02548-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/16a6f55402e5/sensors-22-02548-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/3f291437373a/sensors-22-02548-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/f819d4325d96/sensors-22-02548-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/ed9ff40c18e2/sensors-22-02548-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/cf7f9f92df8c/sensors-22-02548-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/744da3e8f05b/sensors-22-02548-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/51a137fc77a1/sensors-22-02548-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/b6ab1094f5b7/sensors-22-02548-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6da9/9002998/9c896c70962f/sensors-22-02548-g011.jpg

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