An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in Subspace Article Swipe
Huakun Huang
,
Haoli Zhao
,
Xiang Li
,
Shuxue Ding
,
Lingjun Zhao
,
Zhenni Li
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1109/access.2018.2876034
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1109/access.2018.2876034
In practical device-free localization (DFL) applications, for enlarging the monitoring area and improving localization accuracy, too many nodes need to be deployed, which results in a large volume of DFL data with high dimensions. This arises a key problem of seeking an accurate and efficient approach for DFL. In order to address this problem, this paper regards DFL as a problem of sparse-representation-based classification; builds a sparse model; and then proposes two sparse-coding-based algorithms. The first algorithm, sparse coding via the iterative shrinkage-thresholding algorithm (SC-ISTA), is efficient for handling high-dimensional data. And then, subspace techniques are further utilized, followed by performing sparse coding in the low-dimensional signal subspace, which leads to the second algorithm termed subspace-based SC-ISTA (SSC-ISTA). Experiments with the real-world data set are conducted for single-target and multi-target localization, and three typical machine learning algorithms, deep learning based on auto encoder, K-nearest neighbor, and orthogonal matching pursuit, are compared. Experimental results show that both SC-ISTA and SSC-ISTA can achieve high localization accuracies of 100% and are robust to noisy data when SNR is greater than 10 dB, and the time costs for sparse coding of SC-ISTA and SSC-ISTA are 2.1 × 10-3 s and 2.1 × 10-4 s respectively, which indicates that the proposed algorithms outperform the other three ones.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2018.2876034
- OA Status
- gold
- Cited By
- 35
- References
- 55
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2896466913Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2018.2876034Digital Object Identifier
- Title
-
An Accurate and Efficient Device-Free Localization Approach Based on Sparse Coding in SubspaceWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-01-01Full publication date if available
- Authors
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Huakun Huang, Haoli Zhao, Xiang Li, Shuxue Ding, Lingjun Zhao, Zhenni LiList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2018.2876034Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/access.2018.2876034Direct OA link when available
- Concepts
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Subspace topology, Matching pursuit, Neural coding, Computer science, Encoder, Coding (social sciences), Sparse approximation, Artificial intelligence, Pattern recognition (psychology), Algorithm, Compressed sensing, Mathematics, Operating system, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
35Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2023: 6, 2022: 6, 2021: 3, 2020: 5Per-year citation counts (last 5 years)
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55Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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