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Iowa State University

1. Sangeetha, Venkata Krishna. Novel approach to FM-based device free passive indoor localization through neural networks.

Degree: 2015, Iowa State University

Indoor Localization has been one of the most extensively researched topics for the past couple of years with a recent surge in a specific area of Device-free localization in wireless environments. Particularly FM-radio based technologies are being been preferred over WiFi-based technologies due to better penetration indoors and free availability. The major challenges for obtaining a consistent and highly accurate indoor FM based system are susceptibility to human presence, multipath fading and environmental changes. Our research works around these limitations and utilizes the environment itself to establish stronger fingerprints and thus creating a robust localization system. This novel thesis also investigates the feasibility of using neural networks to solve the problem of accuracy degradation when using a single passive receiver across multiple ambient FM radio stations. The system achieves high fidelity and temporal stability to the tunes of 95% by utilizing pattern recognition techniques for the multiple channel spectra.

Subjects/Keywords: Computer Engineering; Device free; DFPL; FM-based; Indoor Localization; Neural Networks; Single Passive Receiver; Electrical and Electronics; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sangeetha, V. K. (2015). Novel approach to FM-based device free passive indoor localization through neural networks. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/14619

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sangeetha, Venkata Krishna. “Novel approach to FM-based device free passive indoor localization through neural networks.” 2015. Thesis, Iowa State University. Accessed October 31, 2020. https://lib.dr.iastate.edu/etd/14619.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sangeetha, Venkata Krishna. “Novel approach to FM-based device free passive indoor localization through neural networks.” 2015. Web. 31 Oct 2020.

Vancouver:

Sangeetha VK. Novel approach to FM-based device free passive indoor localization through neural networks. [Internet] [Thesis]. Iowa State University; 2015. [cited 2020 Oct 31]. Available from: https://lib.dr.iastate.edu/etd/14619.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sangeetha VK. Novel approach to FM-based device free passive indoor localization through neural networks. [Thesis]. Iowa State University; 2015. Available from: https://lib.dr.iastate.edu/etd/14619

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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