.png){kind=icon}
返回
Unknown Transmit Power RSSD Based Source Localization With Sensor Position Uncertainty
.png){kind=icon}
PRE
AI
DOI：10.1109/TCOMM.2015.2410300.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Source localization is an important field of research with numerous applications in signal processing and wireless communications. In this paper, we present a received signal strength difference (RSSD) based method to localize a source with unknown transmit power in the presence of sensor position uncertainty. It is an efficient low complexity technique which does not require transmit power estimation as with other approaches. This eliminates the uncertainty due to signal propagation parameter variations. A constrained adaptive weighted least squares technique is presented to obtain a least squares initial estimate (LSIE) of the source location. Then, this estimate is improved using a computationally efficient modified Newton method (MNM) with adaptive weights. The bias of the proposed LSIE-MNM method and the Cramer-Rao lower bound (CRLB) of the RSSD based measurement model are derived to determine the effect of sensor position uncertainties on the source location estimate. Results are presented which show that the proposed method achieves the CRLB when the SNR is sufficiently high.
Keyword:
Source localization
received signal strength difference (RSSD)
sensor position uncertainty
least squares
Newton method
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.3
论文数:
1.2W
被引数:
3.6W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏A New Approach to Sensor Node Localization Using RSS Measurements in Wireless Sensor Networks无线传感器网络中基于RSS测量的传感器节点定位新方法
PREAI
分享收藏
查看更多内容