CRLB for the localization error in the presence of fading （在衰落存在情况下无限传感器定位的CRLB）

Abstract (英文摘要)：

Localization accuracy is crucial in sensor networks. A wireless sensor network (WSN) with M anchors at known locations

and 1 node, whose location needs to be estimated, is

considered. The estimation is based on time of arrival in the

presence of fading channels. The Cramer-Rao lower bound

(CRLB) for localization error in the presence of fading is derived

under different scenarios. Firstly, fading coefficients are

considered as unknown random nuisance parameters with a

prior distribution. The ML estimator in a fading environment

is derived. If the distribution of fading is unknown to the estimator

then the modified CRLB (MCRLB) can be applied.

The CRLB of localization error in the presence of fading is

compared with the CRLB in the absence of fading, both theoretically

and numerically.

大意翻译（Chinese translation）：

在无限网络中，定位的精确度是非常重要的。这篇文章研究了一个拥有M个已知位置的传感器和1个未知位置的传感器的无限网络。TOA 是本篇文章所使用的方法。我们计算了在衰落信号中定位的CRLB， 并且推导出了在衰落信号中的ML 估计值。 同时， 我们把这些结果与在没有衰落信号下的CRLB 和MLE 进行了比较。

这篇文章已经在ICASSP 2013年的会议中发表

(This paper has been published in ICASSP 2013.)

请在附件中查看整篇论文

(Please check the attachment to see the full paper.)

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CRLB for the Localization Error in the Presence of Fading-ICASSP-13-ZHANG-01Dec2012.pdf