The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
A Theoretical Foundation of Network Localization and Navigation
Abstract
Network localization and navigation (NLN) is a promising paradigm, in which mobile nodes exploit spatiotemporal cooperation, to provide reliable location information for a diverse range of wireless applications. This paper presents a theoretical foundation of NLN, including a mathematical formulation for NLN, an introduction of equivalent Fisher information analysis, and determination of the fundamental limits of localization accuracy. Key ingredients such as spatiotemporal cooperation, array signal processing, and map exploitation are then studied. We also develop a geometric interpretation to provide insights into the essence of NLN for network design. Finally, the paper highlights the connection between the theoretical foundation and algorithm development for NLN, guiding the design and operation of practical localization systems.
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Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Elements of Information Theory
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RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
ESPRIT-estimation of signal parameters via rotational invariance techniques
Roy, R., & Kailath, T. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.32276 · Cited by 7,289
Detection, Estimation, And Modulation Theory
Trees, H. L. V. (1968) · Cited by 5,969
An introduction to hidden Markov models
Rabiner, L., & Juang, B. (1986) · IEEE ASSP Magazine · doi:10.1109/massp.1986.1165342 · Cited by 4,775
Two decades of array signal processing research: the parametric approach
Krim, H., & Viberg, M. (1996) · IEEE Signal Processing Magazine · doi:10.1109/79.526899 · Cited by 4,719
Beamforming: a versatile approach to spatial filtering
Van Veen, B. D., & Buckley, K. M. (1988) · IEEE ASSP Magazine · doi:10.1109/53.665 · Cited by 3,901
The Cricket location-support system
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Cited by
Message Passing Algorithms for Scalable Multitarget Tracking
Meyer, F., Kropfreiter, T., Williams, J. L., Lau, R., Hlawatsch, F., Braca, P., & Win, M. Z. (2018) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2789427 · Cited by 355
Self-citation
Metadata
- Authors
- Win, M. Z., Shen, Y., & Dai, W.
- Venue
- Proceedings of the IEEE
- Published
- 2018-07
- Volume
- 106
- Issue
- 7
- Pages
- 1136-1165
- ISSN
- 0018-9219 (ISSN-L)
- 1558-2256
- OpenAlex
- W2883152037
- Cited by
- 353
- References
- 110
- FWCI
- 15.24
- Type
- journal article
- Language
- en
- Open access
- closed
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