非平稳信道下的鲁棒数据链优化设计综述——带限环境下的混沌传输系统

苗美媛; 宋丹; 徐位凯; 湛佳; 王琳

doi:10.11999/JEIT200311

非平稳信道下的鲁棒数据链优化设计综述——带限环境下的混沌传输系统

doi: 10.11999/JEIT200311

苗美媛¹,
宋丹¹,
徐位凯¹,
湛佳²,
王琳^1, ,

1.
厦门大学信息学院厦门 361005
2.
香港理工大学电子与信息工程学院香港 999077

基金项目: 国家自然科学基金(61671395, 61871337)

详细信息

作者简介:
苗美媛：女，1991年生，博士生，研究方向为混沌调制，带限传输系统

宋丹：女，1994年生，博士生，研究方向为联合信源信道编码

徐位凯：男，1976年生，副教授，研究方向为超宽带与混沌通信

湛佳：女，1991年生，博士生，研究方向为联合信源信道编码

王琳：男，1963年生，教授，博士生导师，研究方向为信息论与编码，数字通信理论

通讯作者:
王琳　wanglin@xmu.edu.cn

中图分类号: TN911.3
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- 被引次数: 0
出版历程
- 收稿日期: 2020-04-27
- 修回日期: 2020-07-08
- 网络出版日期: 2020-07-22
- 刊出日期: 2021-01-15

Survey of Optimization Design for Robust Data Link over Non-stationary Channels-chaotic Transmission Systems over Band-limited Environments

1.
College of Information, Xiamen University, Xiamen 361005, China
2.
Department of Electronics and Information Engineering, Hong Kong Polytechnic University, Hongkong 999077, China

Funds: The National Natural Science Foundation of China (61671395, 61871337)

摘要

摘要: 近年来，以物联网(IoT)为基础的6G的相关技术研究引起了研究单位、高校和工业界的广泛关注，其中还有一些重要的问题亟待解决。如何以较低的成本保证带限非平稳环境下数据传输的鲁棒性是一个非常重要的问题。该文介绍了一种低复杂度、低功耗的调制解调传输技术，即差分混沌键控(DCSK)调制。该文将分别描述和分析该系统在标准和非标准传输环境下的特性、优势及其改进方法。同时将提供一些基于多元DCSK(MDCSK)的新型编码调制方案来提高系统在带限环境下的传输质量，这将有助于在低功耗、低成本的网络上，特别是在非平稳信道上提升系统的鲁棒性。结果表明这些优化工作显著地改善了系统性能。之后针对非平稳信道特性系统参数的优化与自适应传输机制将成为未来研究的热点。
- 差分混沌键控 /
- 非平稳信道 /
- 编码调制
Abstract: Recently 6G based on Internet of Things (IoT) is attracted much attention from research units, universities and industries. There are some important problems leaved for us to resolve. One of the most important problems is how to keep robust transmitting through band-limited non-stationary channels with low cost. In this overview, one low complexity, low power consumption modulation and demodulation transmitting technique, namely, Differential Chaos Shift Keying (DCSK) with its modified ways, is introduced in wireless and wired transmission environment. Their properties and advantages of the models under traditional and non-standard transmission environments are described and analyzed. Meanwhile some new coded M-ary Differential Chaos Shift Keying (MDCSK) schemes to enhance their quality of the system transmitting over band-limited transmission environments are provided, which are beneficial to improve the robust transmitting over networks with low power consumption and low cost, particularly, over non-stationary channels. The results show that the optimization work improves the system performance significantly. After that, the optimization and adaptive mechanics of the system parameters for the non-stationary channel characteristics will become a future research hotspot.
- Differential Chaos Shift Keying (DCSK) /
- Non-stationary channel /
- Coded modulation

HTML全文

图 1 MDCSK的系统框图

下载: 全尺寸图片幻灯片

图 2 MDCSK和MPSK-DCSK在扩频因子β=60，M=2, 4, 8, 16, 32的误码率性能曲线

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图 3 一般化MR-8元DCSK星座及其灰编码映射与判决边界

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图 4 AWGN信道下，2/4/8/16-DCSK系统的BER性能

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图 5 方形星座图与判决边界

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图 6 多径Rayleigh衰落信道下不同系统的误码率

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图 7 不同信道下误码率比较

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图 8 码率1/2的ARJA-16-DC-BICM与方形的4-DCSK的误码率性能比较

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图 9 BICM DS/SS-5 DC-BICM系统误码率比较

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图 10 多径PLC信道下BER性能比较

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图 11 PLC中误码率比较

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图 12 时变UWA信道3个通道场景及脉冲响应

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图 13 不同UWA信道下MC-CS-DCSK,OFDM-CS-DCSK和MM-DCSK的误码率性能比较

下载: 全尺寸图片幻灯片

表 1 EXIT码型搜索算法流程

初始化：
设定预先设定信息比特GPs g₁,g_2,···,g_m,
设定 G_r={所有可能的g_r}, SNR, k, $\varGamma = \{ \phi \}$
程序：
(1) G_r选择一个新的g_r
(2)当SNR=$\gamma $时，计算选择的GPs的EXIT曲线
(3) 如果通道打开，则令SNR=SNR-k，并且执行第(2)步；如果通道关闭，则在$\Gamma $中保存$\gamma + k/2$作为当前选定的GPs的预测阈值，并执行　　第(4)步
(4) 如果在GPs中有未测试的元素，则返回第(2)步，否则执行第(5)步
(5) 搜索最小值并保存到$\varGamma$中，其对应的GPs这是我们要寻找的好的码型结构

下载: 导出CSV

表 2 多径PLC信道参数

路径编号	信道增益	延时(τ(T_c))
1	0.3645–0.4860i	0
2	0.3037+0.4252i	2
3	0.1822–0.3645i	5
4	0.3645–0.2430i	1

下载: 导出CSV

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