ACM Home Page
Please provide us with feedback. Feedback
VOR base stations for indoor 802.11 positioning
Full text PdfPdf (732 KB)
Source International Conference on Mobile Computing and Networking archive
Proceedings of the 10th annual international conference on Mobile computing and networking table of contents
Philadelphia, PA, USA
SESSION: Localization table of contents
Pages: 58 - 69  
Year of Publication: 2004
ISBN:1-58113-868-7
Authors
Dragoş Niculescu  Rutgers University, NJ
Badri Nath  Rutgers University, NJ
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 18,   Downloads (12 Months): 125,   Citation Count: 14
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1023720.1023727
What is a DOI?

ABSTRACT

Angle of arrival (AOA) has previously been used for outdoor positioning in aircraft navigation and for services like E911. For indoor positioning, the best schemes to date rely either on extensive infrastructure, or on sampling of the signal strength on a dense grid, which is subject to changes in the environment, like furniture, elevators, or people. We present an indoor positioning architecture that does not require a signal strength map, simply requiring the placement of special VOR base stations (VORBA). While our incipient realization of the AOA using 802.11 uses a base station with a revolving directional antenna, a non mechanical implementation would yield comparable performance, even with quantized angles. Performance of positioning with VOR base stations is evaluated though experimentation, simulation, and theoretical analysis.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Paramvir Bahl and Venkata N. Padmanabhan. RADAR: An in-building RF-based user location and tracking system. In INFOCOM, Tel Aviv, Israel, March 2000.
2
 
3
Moustafa Youssef, Ashok Agrawala, and Udaya Shankar. WLAN location determination via clustering and probability distributions. Technical report, University of Maryland, College Park, March 2003.
 
4
P. Krishnan, A. S. Krishnakumar, Wen-Hua Ju, Colin Mallows, and Sachin Ganu. A system for LEASE: System for location estimation assisted by stationary emitters for indoor rf wireless networks. In IEEE Infocom, Hong Kong, March 7--11 2004.
 
5
Kamin Whitehouse. The design of calamari: an ad-hoc localization system for sensor networks. Technical report, University of California at Berkeley, 2002. Master's Thesis.
 
6
Peter J. Huber. Robust estimation of a location parameter. The Annals of Mathematical Statistics, 35(1):73--101, March 1964.
 
7
 
8
9
10
11
12
 
13
Kay Romer. The lighthouse location system for smart dust. In ACM/USENIX Conference on Mobile Systems, Applications, and Services (MobiSys 2003), pages 15--30, San Francisco, CA, USA, May 2003.
 
14
J. Hightower, G. Boriello, and R. Want. SpotON: An indoor 3D location sensing technology based on RF signal strength. Technical Report CSE Technical Report 2000-02-02, University of Washington, February 2000.
 
15
Nirupama Bulusu, John Heidemann, and Deborah Estrin. GPS-less low cost outdoor localization for very small devices. In IEEE Personal Communications Magazine, Special Issue on Smart Spaces and Environments. October 2000.
16
 
17
 
18
Dragoş Niculescu and Badri Nath. Ad hoc positioning system (APS). In GLOBECOM, San Antonio, November 2001.
 
19
L. Girod and D. Estrin. Robust range estimation using acoustic and multimodal sensing. In International Conference on Intelligent Robots and Systems, Maui, Hawaii, October 2001.
 
20
L. Doherty, L. E. Ghaoui, and K. S. J. Pister. Convex position estimation in wireless sensor networks. In IEEE INFOCOM, Anchorage, AK, April 2001.
 
21
Chris Savarese, Jan Rabaey, and Koen Langendoen. Robust positioning algorithms for distributed ad-hoc wireless sensor networks. Technical report, Delft University of Technology, 2001.
22
 
23
R. Yarlagadda, I. Ali, N. Al-Dhahir, and J. Hershey. Geometric dilution of precision (GDOP) bounds and properties. Technical Report 97CRD119, GE Research & Development Center, 1997.

CITED BY  14

Collaborative Colleagues:
Dragoş Niculescu: colleagues
Badri Nath: colleagues