• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种基于无线传感器网络非视距条件下非数据辅助误差矢量幅度的新型自适应调制

A Novel Adaptive Modulation Based on Nondata-Aided Error Vector Magnitude in Non-Line-Of-Sight Condition of Wireless Sensor Network.

作者信息

Yang Fan, Zeng Xiaoping, Mao Haiwei, Jian Xin, Tan Xiaoheng, Du Derong

机构信息

College of Communication Engineering, Chongqing University, Chongqing 400044, China.

Chongqing Jinmei Communication Co. Ltd., Chongqing 400030, China.

出版信息

Sensors (Basel). 2018 Jan 15;18(1):229. doi: 10.3390/s18010229.

DOI:10.3390/s18010229
PMID:29342944
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5795750/
Abstract

The high demand for multimedia applications in environmental monitoring, invasion detection, and disaster aid has led to the rise of wireless sensor network (WSN). With the increase of reliability and diversity of information streams, the higher requirements on throughput and quality of service (QoS) have been put forward in data transmission between two sensor nodes. However, lower spectral efficiency becomes a bottleneck in non-line-of-sight (NLOS) transmission of WSN. This paper proposes a novel nondata-aided error vector magnitude based adaptive modulation (NDA-EVM-AM) to solve the problem. NDA-EVM is considered as a new metric to evaluate the quality of NLOS link for adaptive modulation in WSN. By modeling the NLOS scenario as the η - μ fading channel, a closed-form expression for the NDA-EVM of multilevel quadrature amplitude modulation (MQAM) signals over the η - μ fading channel is derived, and the relationship between SER and NDA-EVM is also formulated. Based on these results, NDA-EVM state machine is designed for adaptation strategy. The algorithmic complexity of NDA-EVM-AM is analyzed and the outage capacity of NDA-EVM-AM in an NLOS scenario is also given. The performances of NDA-EVM-AM are compared by simulation, and the results show that NDA-EVM-AM is an effective technique to be used in the NLOS scenarios of WSN. This technique can accurately reflect the channel variations and efficiently adjust modulation order to better match the channel conditions, hence, obtaining better performance in average spectral efficiency.

摘要

环境监测、入侵检测和灾难援助等领域对多媒体应用的高需求推动了无线传感器网络(WSN)的兴起。随着信息流可靠性和多样性的增加,对两个传感器节点之间数据传输的吞吐量和服务质量(QoS)提出了更高要求。然而,较低的频谱效率成为WSN非视距(NLOS)传输的瓶颈。本文提出了一种基于非数据辅助误差向量幅度的新型自适应调制(NDA-EVM-AM)来解决该问题。NDA-EVM被视为评估WSN中用于自适应调制的NLOS链路质量的新指标。通过将NLOS场景建模为η-μ衰落信道,推导了η-μ衰落信道上多级正交幅度调制(MQAM)信号的NDA-EVM的闭式表达式,并建立了误符号率(SER)与NDA-EVM之间的关系。基于这些结果,设计了NDA-EVM状态机用于自适应策略。分析了NDA-EVM-AM的算法复杂度,并给出了NDA-EVM-AM在NLOS场景下的中断容量。通过仿真比较了NDA-EVM-AM的性能,结果表明NDA-EVM-AM是一种适用于WSN的NLOS场景的有效技术。该技术能够准确反映信道变化并有效调整调制阶数,以更好地匹配信道条件,从而在平均频谱效率方面获得更好的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/217f/5795750/fc41133b17a7/sensors-18-00229-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/217f/5795750/cced4cf976d0/sensors-18-00229-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/217f/5795750/fc41133b17a7/sensors-18-00229-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/217f/5795750/cced4cf976d0/sensors-18-00229-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/217f/5795750/fc41133b17a7/sensors-18-00229-g003.jpg

相似文献

1
A Novel Adaptive Modulation Based on Nondata-Aided Error Vector Magnitude in Non-Line-Of-Sight Condition of Wireless Sensor Network.一种基于无线传感器网络非视距条件下非数据辅助误差矢量幅度的新型自适应调制
Sensors (Basel). 2018 Jan 15;18(1):229. doi: 10.3390/s18010229.
2
NLOS Identification and Positioning Algorithm Based on Localization Residual in Wireless Sensor Networks.基于无线传感器网络中定位残差的非视距识别与定位算法。
Sensors (Basel). 2018 Sep 7;18(9):2991. doi: 10.3390/s18092991.
3
A Robust Localization Algorithm Based on NLOS Identification and Classification Filtering for Wireless Sensor Network.一种基于非视距识别与分类滤波的无线传感器网络鲁棒定位算法。
Sensors (Basel). 2020 Nov 19;20(22):6634. doi: 10.3390/s20226634.
4
A Hierarchical Voting Based Mixed Filter Localization Method for Wireless Sensor Network in Mixed LOS/NLOS Environments.基于分层投票的混合 LOS/NLOS 环境下无线传感器网络混合滤波定位方法。
Sensors (Basel). 2018 Jul 19;18(7):2348. doi: 10.3390/s18072348.
5
A Triple-Filter NLOS Localization Algorithm Based on Fuzzy C-means for Wireless Sensor Networks.基于模糊 C 均值的无线传感器网络三重滤波 NLOS 定位算法。
Sensors (Basel). 2019 Mar 10;19(5):1215. doi: 10.3390/s19051215.
6
A Fusion Localization Method based on a Robust Extended Kalman Filter and Track-Quality for Wireless Sensor Networks.一种基于鲁棒扩展卡尔曼滤波器和轨迹质量的无线传感器网络融合定位方法。
Sensors (Basel). 2019 Aug 21;19(17):3638. doi: 10.3390/s19173638.
7
Wireless Sensor Network-Based Rigid Body Localization for NLOS Parameter Estimation.基于无线传感器网络的非视距参数估计刚体定位
Sensors (Basel). 2022 Sep 8;22(18):6810. doi: 10.3390/s22186810.
8
Multiaccess interference in a non-line-of-sight ultraviolet optical wireless sensor network.
Appl Opt. 2007 Aug 10;46(23):5895-901. doi: 10.1364/ao.46.005895.
9
An Indoor Robust Localization Algorithm Based on Data Association Technique.一种基于数据关联技术的室内鲁棒定位算法。
Sensors (Basel). 2020 Nov 18;20(22):6598. doi: 10.3390/s20226598.
10
Efficient Distributed Method for NLOS Cooperative Localization in WSNs.无线传感器网络中 NLOS 协作定位的高效分布式方法。
Sensors (Basel). 2019 Mar 7;19(5):1173. doi: 10.3390/s19051173.

引用本文的文献

1
Optimizing adaptive modulation technique using standard propagation model for enhanced wireless communication channels.使用标准传播模型优化自适应调制技术以增强无线通信信道。
Sci Rep. 2025 Aug 21;15(1):30796. doi: 10.1038/s41598-025-16743-6.

本文引用的文献

1
Wireless Sensor Network Optimization: Multi-Objective Paradigm.无线传感器网络优化:多目标范式
Sensors (Basel). 2015 Jul 20;15(7):17572-620. doi: 10.3390/s150717572.