Difference between revisions of "Trilateration in Robotic Sensing using Acoustic Sensors"
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Abstract: The use of global positioning systems (GPS) for accurately locating targets of interest has become ubiquitous over the last decade. However, contrary to the intuition, the localization becomes more difficult when the source is located within a smaller region, for example, inside a building. This phenomenon is the result of the slow processing time of the computers relative to the time taken by the light to travel back and forth from the satellite to the source. The aim of this research is to study the localization using trilateration methods employing acoustics sources. Since the speed of propagation of sound is less than the speed of propagation of light, we expect to obtain better resolution with this setup. We mount a microphone on a robot which can move in 2-D plane and track its position by measuring the signals that the microphone records from four speakers whose position is known. We later extend this setup to perform trilateration using other existing infrastructure like WLAN. | Abstract: The use of global positioning systems (GPS) for accurately locating targets of interest has become ubiquitous over the last decade. However, contrary to the intuition, the localization becomes more difficult when the source is located within a smaller region, for example, inside a building. This phenomenon is the result of the slow processing time of the computers relative to the time taken by the light to travel back and forth from the satellite to the source. The aim of this research is to study the localization using trilateration methods employing acoustics sources. Since the speed of propagation of sound is less than the speed of propagation of light, we expect to obtain better resolution with this setup. We mount a microphone on a robot which can move in 2-D plane and track its position by measuring the signals that the microphone records from four speakers whose position is known. We later extend this setup to perform trilateration using other existing infrastructure like WLAN. | ||
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| + | [[Trilateration_in_Robotic_Sensing_using_Acoustic_Sensors_Intro | Introduction]] | ||
[[Trilateration_in_Robotic_Sensing_Study_Notes_FL2010_CrossCorrelation(what is) | Range Estimation]] | [[Trilateration_in_Robotic_Sensing_Study_Notes_FL2010_CrossCorrelation(what is) | Range Estimation]] | ||
[[Trilateration_in_Robotic_Sensing_Study_Notes_FL2010_Trilateration(what is) | Trilateration]] | [[Trilateration_in_Robotic_Sensing_Study_Notes_FL2010_Trilateration(what is) | Trilateration]] | ||
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[[Trilateration_in_Robotic_Sensing_using_Acoustic_Sensors_Positioning_System | Positioning System]] | [[Trilateration_in_Robotic_Sensing_using_Acoustic_Sensors_Positioning_System | Positioning System]] | ||
Revision as of 05:14, 21 December 2010
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Project Overview
Abstract: The use of global positioning systems (GPS) for accurately locating targets of interest has become ubiquitous over the last decade. However, contrary to the intuition, the localization becomes more difficult when the source is located within a smaller region, for example, inside a building. This phenomenon is the result of the slow processing time of the computers relative to the time taken by the light to travel back and forth from the satellite to the source. The aim of this research is to study the localization using trilateration methods employing acoustics sources. Since the speed of propagation of sound is less than the speed of propagation of light, we expect to obtain better resolution with this setup. We mount a microphone on a robot which can move in 2-D plane and track its position by measuring the signals that the microphone records from four speakers whose position is known. We later extend this setup to perform trilateration using other existing infrastructure like WLAN.
