The feature extraction and matching of time-varying fast fading channel

被引：0

作者：

Zhang Yankui ^{[1
]}

Wang Daming ^{[1
]}

Ba Bin ^{[1
]}

机构：

[1] PLA Informat Engn Univ, Zhengzhou 450001, Peoples R China

来源：

PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS | 2015年 / 35卷

关键词：

fingerprint database; feature extraction; Scene RecognitionOFDM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Forthe issues of feature extraction and scene recognitionin the complexwireless transmission channel, this paper presents a feature recognition based on a "fingerprint library" algorithm. The algorithm is fully tap the different scenarios, differentiated features within the different regions of the radio channel, for different channel parameters were extracted using the improved KNN algorithm to classify the channel scene. Simulation analysis and experimental data show that the algorithm solves the channel characteristics problemsof wireless channel parameter extraction and channel scene recognition.

引用

页码：468 / 474

页数：7

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