Representation of Radar Micro-Dopplers Using Customized Dictionaries Article Swipe
Human motions give rise to frequency modulations, known as micro-Dopplers, to continuous wave radar signals. Micro-Doppler signals have been extensively researched for the classification of different types of human motions as well as to distinguish humans from other moving targets. However, there are two main scenarios where the performance of existing algorithms deteriorates significantly—one, when the channel consists of multiple moving targets resulting in distorted signatures, and two, when the systems conditions during the training stage deviate significantly from the conditions during the test stage. In this chapter, it is demonstrated that both of these limitations can be overcome by representing the radar data through customized dictionaries, fine-tuned to provide sparser representations of the data, than traditional data-independent dictionaries such as Fourier or wavelets. The performances of the algorithms are evaluated with both simulated and measured radar data gathered from moving humans in indoor line-of-sight conditions.
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Metadata
- Type
- book-chapter
- Language
- en
- Landing Page
- https://doi.org/10.5772/intechopen.71675
- https://www.intechopen.com/citation-pdf-url/58363
- OA Status
- hybrid
- Cited By
- 2
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2804756021
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2804756021Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5772/intechopen.71675Digital Object Identifier
- Title
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Representation of Radar Micro-Dopplers Using Customized DictionariesWork title
- Type
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book-chapterOpenAlex work type
- Language
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enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-05-16Full publication date if available
- Authors
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Shobha Sundar RamList of authors in order
- Landing page
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https://doi.org/10.5772/intechopen.71675Publisher landing page
- PDF URL
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https://www.intechopen.com/citation-pdf-url/58363Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://www.intechopen.com/citation-pdf-url/58363Direct OA link when available
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Radar, Computer science, Representation (politics), Artificial intelligence, Wavelet, Radar systems, Pattern recognition (psychology), Computer vision, Telecommunications, Law, Politics, Political scienceTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2023: 1, 2022: 1Per-year citation counts (last 5 years)
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39Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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