Algorithms and Bounds for Energy-based Multi-source Localization in Log-normal Fading

被引:0
|
作者
Dagres, Ioannis [1 ]
Polydoros, Andreas [2 ,3 ]
Denkovski, Daniel [4 ]
Angjelicinoski, Marko [4 ]
Atanasovski, Vladimir [4 ]
Gavrilovska, Liljana [4 ]
机构
[1] Univ Athens, Inst Accelerating Syst & Applicat, Athens, Greece
[2] King Abdulaziz Univ, Jeddah, Saudi Arabia
[3] Univ Athens, Athens, Greece
[4] Ss Cyril & Methodius Univ Skopje, Fac Elect Engn & Informat Technol, Skopje, Macedonia
来源
2012 IEEE GLOBECOM WORKSHOPS (GC WKSHPS) | 2012年
关键词
ML; multi-source localization; RSS; practical implementation; experimental assessment; NETWORKS;
D O I
暂无
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 problem of multi-source localization in log-normal fading is addressed. A Gaussian-Mixture Model (GMM) is proposed as an approximation of the measured signal strengths from various sensors in space, parameterized by the positions and the transmission (Tx) powers of the sources. The iterative Expectation-Maximization algorithm is invoked for the estimation of the relevant GMM parameter set. The complexity of the proposed algorithm grows only linearly with the number of sources, a major advantage in comparison with the direct Maximum Likelihood approach. When the number of sources is unknown, both the Akaike Information Criterion and the Minimum-Description-Length method are employed to estimate the proper number of sources. In addition, approximate Cramer-Rao lower bounds are derived for the estimation of the source positions and Tx powers. Simulations plus laboratory experiments are presented, which show fine agreement with theory.
引用
收藏
页码:410 / 415
页数:6
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