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Convex Optimization Algorithm for Wireless Localization by Using Hybrid RSS and AOA Measurements

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Broadband Communications, Networks, and Systems (Broadnets 2019)

Abstract

With the development of new array technology and smart antenna, it is easier to obtain the angle of arrival (AOA) measurements. The hybrid received signal strength (RSS) and AOA measurement techniques are proposed for the wireless localization in the paper. By converting the measurement equations and relaxing the optimization function, a second order cone programming and semidefinite programming (SOCPSDP) algorithm is put forward to obtain the position estimate by considering the known or unknown transmit power. The proposed SOCPSDP algorithm provides a solution to the source position estimate and avoids the initialization process. The simulations show that the SOCPSDP algorithm performs better than the semidefinite programming (SDP) algorithm. The accuracy performance of the proposed SOCPSDP algorithm degrades as the measurement noises increase.

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Acknowledgments

This study is supported by NSFC-Zhejiang Joint Fund U1809208, Zhejiang Provincial Natural Science Foundations LY18F020010, Zhejiang Province Key Science and Technology Projects 2015C03008, and Zhejiang Key R&D Plan 2017C03047.

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Authors and Affiliations

  1. School of Information Engineering, Zhejiang A&F University, Hangzhou, China

    Lufeng Mo, Xiaoping Wu & Guoying Wang

Authors
  1. Lufeng Mo
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  2. Xiaoping Wu
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  3. Guoying Wang
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Corresponding author

Correspondence to Lufeng Mo .

Editor information

Editors and Affiliations

  1. Xidian University, Xi'an, China

    Qingshan Li

  2. Xidian University, Xi'an, China

    Shengli Song

  3. Xidian University, Xi'an, China

    Rui Li

  4. Xidian University, Xi'an, China

    Yueshen Xu

  5. Xi’an Jiaotong University, Xi'an, Shaanxi, China

    Wei Xi

  6. Shanghai University, Shanghai, China

    Honghao Gao

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Mo, L., Wu, X., Wang, G. (2019). Convex Optimization Algorithm for Wireless Localization by Using Hybrid RSS and AOA Measurements. In: Li, Q., Song, S., Li, R., Xu, Y., Xi, W., Gao, H. (eds) Broadband Communications, Networks, and Systems. Broadnets 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-030-36442-7_3

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  • DOI: https://doi.org/10.1007/978-3-030-36442-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36441-0

  • Online ISBN: 978-3-030-36442-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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