Enhancing Positioning Accuracy Through RSS Based Ranging And Weighted Least Square Approximation

Actually, the proof is quite direct now: instead of using the techniques given in the section devoted to the inductive case, we use a result valid in the transductive case and

On the other hand, minimum mean square error (MMSE) channel estimation scheme provides better performance, but besides its high computational com- plexity, it is only useful in

In the general case, the complex expression of the non-central moments does not allow to obtain simple results for the central moments... It should be noted that

Further, we compare the performance of the WLS estimator proposed in this paper with that of CAB-MUSIC [11], [20], CAB-ESPRIT [21], SPA [19] and SCAB-MUSIC [28]; and we will show

This approach is based on the use of original weighted least-squares criteria: as opposed to other existing methods, it requires no dithering signal and it

The asymptotical convergence of this approach to the nominal system parameters can be guaranteed, even in the presence of measurement noise, provided the signal

In this paper, estimation quality of a weighted least-square (WLS) approach to parameter estimation problems based on binary observations is investigated in the case of existence

the WidowX Robotic Arm. For each of them the initial and final position of the end-effector are defined as spatial coor- dinates within the workspace. Along with the script itself,