Compressive sensing based location estimation using channel impulse response measurements

Yu Pei Lin, Po Hsuan Tseng, Kai-Ten Feng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Due to the popularity of location-based services in environment with weak GPS signals, indoor location estimation problem have attracted more and more attention in recent years. Among several distance-related measurements, channel impulse response (CIR) reflects multi-path situation between the transmitter and receiver pair and is suitable to describe the characteristic of different positions. Note that CIR, which can be obtained from the inverse Fourier transform of channel frequency response in broadband wireless networks, is supported in most of the commercial standards. In this paper, a novel compressive sensing based location estimation using CIR measurements (CS-CIR) is proposed as well as fingerprinting algorithm. CIR information is collected from each reference point (RP) to access point (AP) and stored in the database. During the on-line stage, the mobile user measures CIR from the AP and compares measured CIR with those CIR values in the database. Note that user position is close to one of the RPs and user position vector is represented as a sparse vector. By applying compressive sensing theory, user position can be recovered by solving l1-minimization problem. Simulation result validate that the CS-CIR outperforms the K-nearest neighbour method using CIR measurements and conventional received signal strength based methods.

Original languageEnglish
Title of host publication2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, PIMRC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2066-2070
Number of pages5
ISBN (Electronic)9781479949120
DOIs
StatePublished - 25 Jun 2014
Event2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014 - Washington, United States
Duration: 2 Sep 20145 Sep 2014

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2014-June

Conference

Conference2014 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, IEEE PIMRC 2014
CountryUnited States
CityWashington
Period2/09/145/09/14

Keywords

  • channel impulse response
  • compressive sensing
  • fingerprinting

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    Lin, Y. P., Tseng, P. H., & Feng, K-T. (2014). Compressive sensing based location estimation using channel impulse response measurements. In 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, PIMRC 2014 (pp. 2066-2070). [7136512] (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC; Vol. 2014-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PIMRC.2014.7136512