Abstract
The estimation of the position of a mobile target on a plane as well as its orientation is an important aspect for many applications. The indoor or outdoor localization of such a target has been widely addressed in the literature but if a third degree of freedom like rotation has to be also taken into consideration the difficulty in estimating the target position and orientation is significantly increased. A network consisting of only a small number of low cost infrared transmitters/receivers is used in this paper to estimate the position of a mobile target on a plane as well as its draft orientation with an angular step of 45o or less. The distance and orientation estimation is based on the success rate that infrared patterns are retrieved at the target. This success rate parameter is calculated by simple ultra low cost microcontrollers. The architectural complexity and cost of the overall localization system is significantly lower than other approaches without sacrificing speed and accuracy. An error correction scheme like Turbo decoding is applied in order to increase the reliability and stability of the results by correcting burst errors introduced by real time noise.
Highlights
The applications where indoor localization is important concern robotics, automation, virtual reality and pervasive computing environments
A network consisting of only a small number of low cost infrared transmitters/receivers is used in this paper to estimate the position of a mobile target on a plane as well as its draft orientation with an angular step of 45o or less
A localization system capable of determining the orientation of a target in one of 8 possible directions with high estimation stability was described in this paper
Summary
The applications where indoor localization is important concern robotics, automation, virtual reality and pervasive computing environments. Since our localization approach is based on the quality of the received signal, the intension is to minimize the effect of the burst errors caused by instant noise through the selected Error Correcting method rather than fully recover the initial patterns. In the present work we modify some architectural features of the infrared transmitters and receivers in order to obtain a draft indication of the target orientation in 45o angular steps i.e, 8 potential directions. It will be explained how narrower angular steps and more accurate orientation estimation can been supported.
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