A mitigation of line-of-sight by TDOA error modeling in wireless communication system.

Kim, Jin Ik; Lee, Jang Gyu; Park, Chan Gook

doi:10.1109/iccas.2008.4694487

Cited by 14 publications

(3 citation statements)

References 3 publications

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“…TDoA techniques have poor accuracy due to technical limitations and propagation environments, but its poor accuracy is mainly due to Non Line of Sight (NLOS). NLOS is when a direct line of sight between the mobile device and the base station (AP) is obstructed by obstacles (Kim, Lee and Park, 2008). NLOS propagation error results in the transmitted signal taking longer to arrive at the receiver as the signal is reflected and diffracted which results in a greater travelling distance (Kim, Lee and Park, 2008).…”

Section: Time Difference Of Arrivalmentioning

confidence: 99%

“…NLOS is when a direct line of sight between the mobile device and the base station (AP) is obstructed by obstacles (Kim, Lee and Park, 2008). NLOS propagation error results in the transmitted signal taking longer to arrive at the receiver as the signal is reflected and diffracted which results in a greater travelling distance (Kim, Lee and Park, 2008). A solution to the NLOS propagation error is to apply TDOA error modelling at each base station (Kim, Lee and Park, 2008).…”

Section: Time Difference Of Arrivalmentioning

confidence: 99%

“…NLOS propagation error results in the transmitted signal taking longer to arrive at the receiver as the signal is reflected and diffracted which results in a greater travelling distance (Kim, Lee and Park, 2008). A solution to the NLOS propagation error is to apply TDOA error modelling at each base station (Kim, Lee and Park, 2008). It concluded that using the error modelling algorithm the NLOS error can be mitigated by 45 to 77%.…”

Section: Time Difference Of Arrivalmentioning

confidence: 99%

See 2 more Smart Citations

A Context-Aware Mobility Indoor Positioning System

Ferry

O'Raw

Curran

2015

International Journal of Adaptive, Resilient and Autonomic Systems

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The need for location based services has dramatically increased within the past few years, especially with the popularity and capability of mobile device such as smart phones and tablets. The limitation of GPS for indoor positioning has seen an increase of indoor positioning based on Wireless Local Area Network 802.11. The authors demonstrate here a real world application of determining one's location with the Cisco Context-Aware Mobility which provides a Real Time Location System solution based on Wi-Fi. They detail their implementation of an Android application which communicates with the Cisco Context-Aware Mobility system to visually display the location of the mobile device. The application was tested in a production environment and limitations in the production environment along with the diagnostic capabilities of the Context-Aware Mobility were identified. The authors found that to obtain optimal accuracy, a device must be detected by four or more Access points so a recommended distribution for an indoor positioning system built on the Cisco context-aware mobility framework is for an Access Point to be placed every 12 – 20 linear meters.

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Section: Time Difference Of Arrivalmentioning

confidence: 99%