An EM algorithm for GMM parameter estimation in the presence of censored and dropped data with potential application for indoor positioning

被引：11

作者：

Trung Kien Vu ^{[1
]}

Manh Kha Hoang ^{[1
]}

Hung Lan Le ^{[2
]}

机构：

[1] Hanoi Univ Ind, Fac Elect Engn Technol, Hanoi, Vietnam

[2] Natl Ctr Technol Progress, Hanoi, Vietnam

来源：

ICT EXPRESS | 2019年 / 5卷 / 02期

关键词：

Expectation-Maximization; Gaussian Mixture Model; Censored and dropped data; Indoor positioning; Fingerprinting;

D O I：

10.1016/j.icte.2018.08.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a specific type of incomplete data in Wi-Fi fingerprinting based indoor positioning systems (WF-IPS) is presented: censored and dropped mixture data. For fitting this type of data, a censored and dropped Gaussian Mixture Model (CD-GMM) was proposed. Further, an extended version of the Expectation-Maximization (EM) algorithm is developed for estimating parameters of this model. Simulation results show the advantage of our proposal compared to existing methods. Thus, this approach not only has potential for the WF-IPSs, but also for other applications. (C) 2018 The Korean Institute of Communications and Information Sciences (KICS). Publishing Services by Elsevier B.V.

引用

页码：120 / 123

页数：4

共 3 条

[1] PARAMETER ESTIMATION AND CLASSIFICATION OF CENSORED GAUSSIAN DATA WITH APPLICATION TO WIFI INDOOR POSITIONING
Manh Kha Hoang
Haeb-Umbach, Reinhold
2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 3721 - 3725
[2] Performance Enhancement of Wi-Fi Fingerprinting-based IPS by Accurate Parameter Estimation of Censored and Dropped Data
Trung Kien Vu
Manh Kha Hoang
Hung Lan Le
RADIOENGINEERING, 2019, 28 (04) : 740 - 748
[3] Regularized EM algorithm for sparse parameter estimation in nonlinear dynamic systems with application to gene regulatory network inference
Jia, Bin
Wang, Xiaodong
EURASIP JOURNAL ON BIOINFORMATICS AND SYSTEMS BIOLOGY, 2014, Springer Verlag (01):

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