research-article

An improving sparse coding algorithm for wireless passive target positioning

Authors:

Chunhua SuAuthors Info & Claims

Volume 49, Issue C

https://doi.org/10.1016/j.phycom.2021.101487

Published: 01 December 2021 Publication History

Abstract

With the developments of smart city, wireless passive localization (WPL) technique that detects targets without carrying any devices draws a lot of research attention. Some machine learning methods, such as sparse coding and deep learning, have been developed to formulate the WPL as a classification problem. Despite these methods have been proved to be effective in WPL, it remains hot topics to design a precise objective function that could detect the position of the targets with high accuracy and robustness. In this paper, we exploited a sparsity regularizer, named l o g-regularizer, in the classification objective function. By virtue of the distinguished ability in measuring sparsity, our proposed improved sparse coding algorithm (ISCA) with l o g-regularizer could position targets accurately with robust performance even in the challenging environments Experimental results show that our proposal achieves better results compared with five other machine learning algorithms. Even the input data is severely polluted by noise (SNR = −10 dB), the proposed method could still obtain high localization accuracy of 99.4%.

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Cited By

Cheng QZhang LXue BShu FWang X(2023)A generalized thresholding algorithm with dimension reduction for device-free localization in IoTApplied Intelligence10.1007/s10489-022-03925-253:8(9089-9102)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1007/s10489-022-03925-2

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An improving sparse coding algorithm for wireless passive target positioning

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Published In

cover image Physical Communication

Physical Communication Volume 49, Issue C

Dec 2021

401 pages

ISSN:1874-4907

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Copyright © 2021.

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Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 December 2021

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Cited By

Cheng QZhang LXue BShu FWang X(2023)A generalized thresholding algorithm with dimension reduction for device-free localization in IoTApplied Intelligence10.1007/s10489-022-03925-253:8(9089-9102)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1007/s10489-022-03925-2

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