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These systems are usually divided into three phases: distance estimation, position computation and localization algorithm [5].
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System GUI is developed to help the end-users/clinicians for image guidance, target and margin demarcation, on-line update on volume estimation, positioning and controlling the manipulator.
Based on the performance comparison for angle and distance estimations, position estimation can be performed by using MMSE and MUSIC algorithm with the selected pulse shape.
Based on the performance comparison for angle and distance estimations, position estimation can be performed by selecting the pulse shape providing enhanced performance.
Position estimation and position-to-track association issues were considered as well.
In the following, the transmitted symbols are estimated, with estimation borders positioned between the average pulse distances.
Signal reception, processing and estimation of position all take place within the tablet, operating at real time and with an update rate of 2 Hz.
As already mentioned in the introduction part of this article, positioning is typically performed in two steps, namely parameter estimation and position estimation.
In this modified method, gain errors are firstly estimated and compensated, which eliminates the interaction between gain error estimation and position error estimation.
Meanwhile, the joint iteration between gain-phase error estimation and position error estimation is not required.
First, gain error estimation and position error estimation can affect each other, which will influence the convergence rate.
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