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摘要:
Localizing a jammer in an indoor environment in wireless sensor networks becomes a significant research problem due to the ease of blocking the communication between legitimate nodes. An adversary may emit radio frequency to prevent the transmission between nodes. In this paper, we propose detecting the position of the jammer indoor by using the received signal strength and Kalman filter (KF) to reduce the noise due to the multipath signal caused by obstacles in the indoor environment. We compare our work to the Linear Prediction Algorithm (LP) and Centroid Localization Algorithm (CL). We observed that the Kalman filter has better results when estimating the distance compared to other algorithms.
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篇名 Localizing Jammer in an Indoor Environment by Estimating Signal Strength and Kalman Filter
来源期刊 无线工程与技术(英文) 学科 工学
关键词 JAMMER Detecting Kalman Filter (KF) Linear Prediction (LP) CENTROID Localization (CL) JAMMER RECEIVED SIGNAL Strength (JRSS) MULTIPATH SIGNAL Indoor Location
年,卷(期) 2018,(2) 所属期刊栏目
研究方向 页码范围 20-33
页数 14页 分类号 TN92
字数 语种
DOI
五维指标
传播情况
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研究主题发展历程
节点文献
JAMMER
Detecting
Kalman
Filter
(KF)
Linear
Prediction
(LP)
CENTROID
Localization
(CL)
JAMMER
RECEIVED
SIGNAL
Strength
(JRSS)
MULTIPATH
SIGNAL
Indoor
Location
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
无线工程与技术(英文)
季刊
2152-2294
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
154
总下载数(次)
0
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