2006 International Conference on Communication Technology 2006
DOI: 10.1109/icct.2006.341960
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Optimum Geometry Selection in Mobile Sensor Networks

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Cited by 4 publications
(1 citation statement)
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“…Yang and Scheuing [8], [9] have shown that the uniform angular array (UAA) can achieve the minimum mean-square error (MSE) for a source located inside the geometry in time-difference-of-arrival (TDOA) positioning. Ji and Liu [10] studied the array geometry for energy based localization that can minimize the source position MSE and reached the same conclusion that the solution is a UAA. Schroeder [11] extends the theoretical optimum receiver placement to practical applications by minimizing the average GDOP.…”
Section: Introductionmentioning
confidence: 71%
“…Yang and Scheuing [8], [9] have shown that the uniform angular array (UAA) can achieve the minimum mean-square error (MSE) for a source located inside the geometry in time-difference-of-arrival (TDOA) positioning. Ji and Liu [10] studied the array geometry for energy based localization that can minimize the source position MSE and reached the same conclusion that the solution is a UAA. Schroeder [11] extends the theoretical optimum receiver placement to practical applications by minimizing the average GDOP.…”
Section: Introductionmentioning
confidence: 71%