Relationship between the maximum likelihood emitter location estimators based on received signal strength (RSS) and received signal strength difference (RSSD)

Sichun Wang, R. Inkol, B. Jackson
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引用次数: 19

Abstract

Under the assumption of a log-normal path loss model, maximum likelihood (ML) emitter location estimators are derived for both received signal strength (RSS) and received signal strength difference (RSSD) information. It is then shown that these ML estimators are identical, contrary to the seemingly common perception that the RSS-based ML location estimator should outperform the RSSD-based ML location estimator. The Cramer-Rao lower bounds (CRLB) for the average miss distance are also shown to be identical. Using the least squares estimation criterion, a non-linear least squares (NLS) emitter location estimator is also formulated in this paper for comparison. These theoretical developments are illustrated by computer simulation experiments.
基于接收信号强度(RSS)和接收信号强度差(RSSD)的最大似然发射极位置估计的关系
在对数正态路径损耗模型的假设下,推导了接收信号强度(RSS)和接收信号强度差(RSSD)信息的最大似然(ML)发射器位置估计。然后显示这些ML估计器是相同的,这与基于rss的ML位置估计器应该优于基于rssd的ML位置估计器的看似常见的看法相反。平均脱靶量的Cramer-Rao下界(CRLB)也相同。利用最小二乘估计准则,本文还建立了一个非线性最小二乘(NLS)辐射源位置估计器,以供比较。这些理论的发展是通过计算机模拟实验来说明的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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