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{\times \widetilde{\mathbf{h}} + \left( {1 – \alpha} \right)\left( {1 – \widetilde{\mathbf{h}}} \right).} \\
\end{matrix}$$
In this study, we use EKF-smoothed *θ* ~*γ*~ with two samples for each sensor, and the two samples are associated with the receiver’s estimated angle $\widetilde{\theta}$ and the synchronization of the synchronization phase, respectively. These two samples are as follows: $$\begin{matrix}
{\theta_{\gamma,1} = \left\lbrack { – \left( {\widetilde{\theta} – \theta_{\gamma}} \right),\left( {\widetilde{\theta} – \theta_{\gamma}} \right)} \right\rbrack} \\
{\theta_{\gamma,2} = \left\lbrack {\left( {\widetilde{\theta} – \theta_{\gamma}} \right), – \left( {\widetilde{\theta} – \theta_{\gamma}} \right)} \right\rbrack.} \\
\end{matrix}$$ The candidate best-estimate can be obtained by selecting the maximum-likelihood-like result from the two sample results. To calculate the mean of the above two samples, two Kalman filters are used for each sensor. The mean of the estimation of the angle *θ* ~*γ*~
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