A Passive WiFi Source Localization System based on Fine-grained Power-based Trilateration

Li, Zan; Braun, Torsten; Dimitrova, Desislava Cvetanova (June 2015). A Passive WiFi Source Localization System based on Fine-grained Power-based Trilateration. In: IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (pp. 1-9). IEEE 10.1109/WoWMoM.2015.7158147

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Indoor localization systems become more interesting for researchers because of the attractiveness of business cases in various application fields. A WiFi-based passive localization system can provide user location information to third-party providers of positioning services. However, indoor localization techniques are prone to multipath and Non-Line Of Sight (NLOS) propagation, which lead to significant performance degradation. To overcome these problems, we provide a passive localization system for WiFi targets with several improved algorithms for localization. Through Software Defined Radio (SDR) techniques, we extract Channel Impulse Response (CIR) information at the physical layer. CIR is later adopted to mitigate the multipath fading problem. We propose to use a Nonlinear Regression (NLR) method to relate the filtered power information to propagation distances, which significantly improves the ranging accuracy compared to the commonly used log-distance path loss model. To mitigate the influence of ranging errors, a new trilateration algorithm is designed as well by combining Weighted Centroid and Constrained Weighted Least Square (WC-CWLS) algorithms. Experiment results show that our algorithm is robust against ranging errors and outperforms the linear least square algorithm and weighted centroid algorithm.

Item Type:

Conference or Workshop Item (Paper)


08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Li, Zan; Braun, Torsten and Dimitrova, Desislava Cvetanova


000 Computer science, knowledge & systems
500 Science > 510 Mathematics






Dimitrios Xenakis

Date Deposited:

21 May 2015 13:38

Last Modified:

01 May 2020 10:47

Publisher DOI:






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