P. Bahl, A. Balachandran, and V. Padmanabhan. Enhancements to the RADAR User Location and Tracking System, Microsoft Research, Technical Report, Feb. 2000. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Self-Configuring Localization Systems - Bulusu (Correct)
.... and have traditionally focused on predicting the average received signal strength (RSSI) at a given distance from the transmitter (large scale propagation models) as well as the variability of the signal strength in close proximity to a location (small scale or fading models) In the RADAR system [BP00b, BP00a] (and also in SpotON [HWB00] Bahl and Padmanabhan suggest estimating distance based on signal strength in indoor environments. They compute distance from measured signal strength by applying a Wall Attenuation Factor (WAF) based signal propagation model. The distance information is then used to ....
Paramvir Bahl and Venkata N. Padmanabhan. "Enhancements to the RADAR user location and tracking system." Technical Report MSR-TR2000 -12, Microsoft Research, Redmond, WA, USA, February 2000.
Robotics-Based Location Sensing using Wireless Ethernet - Ladd, Bekris, Rudys.. (2002) (33 citations) (Correct)
....in the system could be captured with a simple theoretical model to minimize the training phase. We observed a number of interesting properties of RF signals in our environment. Orientation Matters. The authors of RADAR established a correlation between orientation and measured signal strength [3, 2]. We also observed this. The laptop and the operator affect the signal in a measurable way. It is interesting to note that the presence of the operator affects signal strength and gives the omnidirectional signals some weakly directional properties. Typically the mean signal strength varies less ....
....in the left graph is measured in pixels on our map; 50 pixels is approximately equal to 3 meters. 4.1 Advantages Accuracy. The accuracy of RF based localization is substantially improved in our experimental setup over the reported resolution and accuracy of similar previous efforts. RADAR [3, 2] exhibited a median resolution in the range of 2 to 3 meters. Our results indicate that we can get a resolution of less than meters with an accuracy given suitable base station layout. At a coarse resolution, we are very reliable. This is because noise texture varies significantly over ....
[Article contains additional citation context not shown here]
P. Bahl and V. N. Padmanabhan. Enhancements to the RADAR user location and tracking system. Technical Report MSR-TR-2000-12, Microsoft Research, Feb. 2000.
Location Sensing and Privacy in a Context Aware.. - Smailagic.. (2001) (17 citations) (Correct)
.... In this paper we describe the client centric approach based upon a combined triangulation, mapping and interpolation algorithm (CMU TMI) We evaluate the characteristics of this approach with our previous algorithm, CMU Pattern Matching (CMU PM) as well as Victor Bahl s RADAR system [1][2]. This paper also introduces attributes of a location sensing system that describe their relative merits for evaluation, accuracy, complexity of training and power consumption. We proceed with outlining the importance of privacy for location information, user study for our location privacy model, ....
....Device Proxy Device Proxy Device Proxy 4. Location Sensing In this section we describe two location sensing algorithms, CMU s Pattern Matching (CMU PM) CMU s Triangulation Mapping Interpolation (CMU TMI) and compare them with two other location sensing algorithms Victor Bahl s RADAR [1][2], and Nearest Basestation. CMU PM implements a pattern matching algorithm. CMU TMI implements Triangulation, Mapping and Interpolation. RADAR is a pattern matching algorithm. Nearest Basestation establishes a devices location by determining which basestation it is connected to. In this paper we ....
Bahl, P., Balachandran, A., Padmanabhan,V. N., "Enhancements to the RADAR User Location and Tracking System," Microsoft Research Technical Report, February 2000.
Accurate GSM Indoor Localization - Veljo Otsason Alex (2005) (1 citation) (Correct)
No context found.
P. Bahl, A. Balachandran, and V. Padmanabhan. Enhancements to the RADAR User Location and Tracking System, Microsoft Research, Technical Report, Feb. 2000.
Employing User Feedback for Fast, Accurate.. - Ezekiel Bhasker Steven (Correct)
No context found.
P. Bahl, A. Balachandran, and V. Padmanabhan. Enhancements to the RADAR user location and tracking system. Technical Report MSR-TR-2000-12, Microsoft Research, February 2000.
Project Aura: Toward Distraction-Free Pervasive Computing - Garlan, al. (2002) (34 citations) (Correct)
No context found.
P. Bahl, V.N. Padmanabhan, and A. Balachandran, Enhancements to the Radar User Location and Tracking System, tech. report MSR-TR-00-12, Microsoft Research, Redmond, Wash., 2000.
Dynamic World Models from Ray-tracing - Harle, Hopper (2004) (Correct)
No context found.
P. Bahl, V. N. Padmanabhan, and A. Balachandran. Enhancements to the RADAR user location and tracking system. Technical report, Microsoft Research, February 2000.
Wireless LAN Location-Sensing for Security Applications - Tao, Rudys, Ladd, Wallach (2003) (1 citation) (Correct)
No context found.
P. Bahl and V. N. Padmanabhan. Enhancements to the RADAR user location and tracking system. Technical Report MSR-TR-2000-12, Microsoft Research, Feb. 2000.
Handling Samples Correlation in the Horus System - Youssef, Agrawala (2004) (Correct)
No context found.
P. Bahl, V. N. Padmanabhan, and A. Balachandran, "Enhancements to the RADAR User Location and Tracking System," Microsoft Research, Tech. Rep. MSR-TR-00-12, February 2000.
Single Reflection Spatial Voting: A Novel Method for.. - Harle, Ward, Hopper (2003) (Correct)
No context found.
P. Bahl, V. N. Padmanabhan, and A. Balachandran. Enhancements to the RADAR user location and tracking system. Technical report, Microsoft Research, February 2000.
Robust Indoor Location Estimation of Stationary and - Mobile Users Youngjune (2004) (Correct)
No context found.
Bahl, P., Padmanabhan, V., N., and Balachandran, A., "Enhancements to the RADAR User Location and Tracking System," Microsoft Research Technical Report: MSR-TR-00-12, February 2000
Localization in Wireless Sensor Networks: A Probabilistic.. - Ramadurai, Sichitiu (2003) (1 citation) (Correct)
No context found.
P. Bahl and V. N. Padmanabhan, "Enhancements to the radar user location and tracking system," in Microsoft Research Technical Report MSR-TR-2000-12, 2000.
Simple Algorithm for Outdoor Localization of - Wireless Sensor Networks (Correct)
No context found.
P. Bahl and V. N. Padmanabhan, "Enhancements to the radar user location and tracking system," in Microsoft Research Technical Report MSR-TR-2000-12, 2000.
Infrastructure-based location estimation in WLAN networks - Ganu, Krishnakumar, Krishnan (2004) (Correct)
No context found.
P. Bahl, V.N. Padmanabhan, A. Balachandran, "Enhancements to the RADAR User Location and Tracking System," Microsoft Research Technical Report, February 2000.
Handling Samples Correlation in the Horus System - Youssef, Agrawala (2004) (Correct)
No context found.
P. Bahl, V. N. Padmanabhan, and A. Balachandran, "Enhancements to the RADAR User Location and Tracking System," Microsoft Research, Tech. Rep. MSR-TR-00-12, February 2000.
Employing User Feedback for Fast, Accurate, - Low-Maintenance Geolocationing .. (Correct)
No context found.
P. Bahl, A. Balachandran, and V. Padmanabhan. Enhancements to the RADAR user location and tracking system. Technical Report MSR-TR-2000-12, Microsoft Research, February 2000.
Localization of Wireless Sensor Networks with a Mobile Beacon - Mihail Sichitiu And (Correct)
No context found.
P. Bahl and V. N. Padmanabhan, "Enhancements to the radar user location and tracking system," in Microsoft Research Technical Report MSR-TR-2000-12, 2000.
Handling Samples Correlation in the Horus System - Youssef, Agrawala (2003) (Correct)
No context found.
P. Bahl, V. N. Padmanabhan, and A. Balachandran, "Enhancements to the RADAR User Location and Tracking System, " Tech. Rep. MSR-TR-00-12, Microsoft Research, February 2000.
A System for LEASE: Location Estimation Assisted.. - Krishnan.. (2004) (Correct)
No context found.
P. Bahl, V.N. Padmanabhan, A. Balachandran, "Enhancements to the RADAR User Location and Tracking System," Microsoft Research Technical Report, February 2000.
On Indoor Position Location With Wireless Lans - Prasithsangaree Krishnamurthy .. (2001) (5 citations) (Correct)
No context found.
P. Bahl and V. N. Padmanabhan, "Enhancements to the RADAR user location and tracking system", Technical Report MSR-TR-2000-12, Microsoft Research, 2000.
Implementing a Sentient Computing System - Addlesee, Curwen, Hodges.. (2001) (64 citations) (Correct)
No context found.
P. Bahl, V. Padmanabhan, and A. Balachandran, "Enhancements to the Radar User Location and Tracking System," tech. report MSR-TR-2000-12, Microsoft Research, Redmond, Wash., Feb. 2000.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC