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Statistical Theory of Passive Location Systems
Abstract
A derivation of the principal algorithms and an analysis of the performance of the two most important passive location systems for stationary transmitters, hyperbolic location systems and directionfinding location systems, are presented. The concentration ellipse, the circular error probability, and the geometric dilution of precision are defined and related to the location-system and received-signal characteristics. Doppler and other passive location systems are briefly discussed.
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Cited by
Mobile robot localization by tracking geometric beacons
Leonard, J. J., & Durrant-Whyte, H. F. (1991) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.88147 · Cited by 1,245
Position location using wireless communications on highways of the future
Rappaport, T. S., Reed, J. H., & Woerner, B. D. (1996) · IEEE Communications Magazine · doi:10.1109/35.544321 · Cited by 561
Cooperative Localization for Autonomous Underwater Vehicles
Bahr, A., & Leonard, J. J. (2008) · Springer Tracts in Advanced Robotics · doi:10.1007/978-3-540-77457-0_36 · Cited by 266
Geolocation of a known altitude object from TDOA and FDOA measurements
Ho, K. C., & Chan, Y. T. (1997) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/7.599239 · Cited by 264
Fisher-information-based data compression for estimation using two sensors
Fowler, M. L., & Chen, M. (2005) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2005.1541459 · Cited by 41
Metadata
- Authors
- Torrieri, D. J.
- Venue
- Autonomous Robot Vehicles
- Publisher
- Springer New York
- Published
- 1990
- Volume
- AES-20
- Issue
- 2
- Pages
- 151-166
- OpenAlex
- W125220207
- Cited by
- 1,325
- References
- 0
- FWCI
- 6.63
- Type
- book chapter
- Language
- en
- Open access
- closed
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