Location estimation using RSS measurements with unknown path loss exponents

被引:16
作者
Zeytinci, Musa Bora [1 ]
Sari, Veli [1 ]
Harmanci, Frederic Kerem [1 ]
Anarim, Emin [1 ]
Akar, Mehmet [1 ]
机构
[1] Bogazici Univ, Dept Elect & Elect Engn, Istanbul, Turkey
关键词
Mobile positioning; Location estimation; Cramer-Rao bound; Received signal strength; WIRELESS; LOCALIZATION; GEOLOCATION; TRACKING;
D O I
10.1186/1687-1499-2013-178
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The location of a mobile station (MS) in a cellular network can be estimated using received signal strength (RSS) measurements that are available from control channels of nearby base stations. Most of the recent RSS-based location estimation methods that are available in the literature rely on the rather unrealistic assumption that signal propagation characteristics are known and independent of time variations and the environment. In this paper, we propose an RSS-based location estimation technique, so-called multiple path loss exponent algorithm (RSS-MPLE), which jointly estimates the propagation parameters and the MS position. The RSS-MPLE method incorporates antenna radiation pattern information into the signal model and determines the maximum likelihood estimate of unknown parameters by employing the Levenberg-Marquardt method. The accuracy of the proposed method is further examined by deriving the Cramer-Rao bound. The performance of the RSS-MPLE algorithm is evaluated for various scenarios via simulation results which confirm that the proposed scheme provides a practical position estimator that is not only accurate but also robust against the variations in the signal propagation characteristics.
引用
收藏
页数:14
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