DoA Estimation Using Wireless Distributed PCA 


Vol. 47,  No. 6, pp. 836-844, Jun.  2022
10.7840/kics.2022.47.6.836


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  Abstract

Principal component analysis is exploited to compress high-dimensional data into low-dimensions while reducing losses. However, when using principal component analysis, central processing of data from a large sensor network inevitably entails a communication bottleneck. In order to improve the communication bottleneck, studies have been conducted on the distributed principal component analysis that performs principal component analysis in a decentralized environment. However, there is a problem that most of the distributed principal component analysis was conducted in a wired communication environment rather than a wireless communication environment. To improve these physical constraints of wired communication, this study conducts distributed principal component analysis in a wireless communication environment. We estimate the direction of arrival based on the distributed principal component analysis and investigate how successfully distributed principal component analysis can operate in a wireless communication environment.

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  Cite this article

[IEEE Style]

W. Kim, K. Son, W. Choi, "DoA Estimation Using Wireless Distributed PCA," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 6, pp. 836-844, 2022. DOI: 10.7840/kics.2022.47.6.836.

[ACM Style]

Wooyoung Kim, Kyungrak Son, and Wan Choi. 2022. DoA Estimation Using Wireless Distributed PCA. The Journal of Korean Institute of Communications and Information Sciences, 47, 6, (2022), 836-844. DOI: 10.7840/kics.2022.47.6.836.

[KICS Style]

Wooyoung Kim, Kyungrak Son, Wan Choi, "DoA Estimation Using Wireless Distributed PCA," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 6, pp. 836-844, 6. 2022. (https://doi.org/10.7840/kics.2022.47.6.836)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880