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This paper presents the results of study and analysis on the effects and influences caused by inaccurately measured environmental variables for ranging and localization purposes. These variables include path loss exponent, lognormal noise, and received signal strength measured at reference distance. Three cases of variable settings are included in the analysis for comparison: the actual, underestimated,...
In scenarios of wireless source localization using sensor networks, the geometry of the sensor nodes in the network heavily influences the accuracy of the source location estimate. This paper thus considers the optimal sensor placement in three dimensions so that a source can be localized optimally from the Received Signal Strength (RSS) at various non-coplanar sensors, under Lognormal Shadowing....
In source localization one estimates the location of a source using a variety of relative position information. Such relative position information is often provided by the received signal strength (RSS) which is in turn affected by log normal shadowing. This paper considers optimal sensor placement in two dimensions so that a source can be localized optimally from the RSS at various non-collinear...
In source localization one estimates the location of a source using a variety of relative position information. Such relative position information is often provided by the received signal strength (RSS) which is in turn affected by log normal shadowing. A related issue is to place sensors around a localized source in a manner in which they can optimally monitor it. This paper considers optimal sensor...
In source localization, one estimates the location of a source using a variety of relative position information. Many algorithms use certain powers of distances to effect localization. In practice, exact distance measurement is not directly available and must be estimated from information such as received signal strength (RSS), time of arrival, or time difference of arrival. This letter considers...
In source localization one estimates the location of a source using a variety of relative position information. Many algorithms use certain powers of distances to effect localization. In practice, such distances are not directly available but must be deduced from information such as received signal strength (RSS) or time difference of arrival. This paper considers bias and variance issues in estimating...
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