This letter gives the comparison of the 3D hybrid implicit-explicit finite-difference time-domain (HIE-FDTD) method with the ADI-FDTD method through numerical examples. It shows that the HIE-FDTD method has higher accuracy than the ADI-FDTD method, especially for larger rate of field variation; the time step size, which has a detrimental effect on the accuracy of ADI-FDTD, does not affect the accuracy of HIE-FDTD method. The computation efficiency of the HIE-FDTD method is higher than ADI-FDTD method. ABSTRACT: A new broadband single-fed circularly polarized (CP) wide-slot antenna is presented in the letter. The antenna is composed of a wide-slot, with a T-shaped stub and a microstrip T-junction. The CP operation is realized by the interaction from the T-shaped stub on the wide-slot and the T-junction. The antenna has been investigated numerically and experimentally. Measured result shows that the antennahas an impedance bandwidth of 58% and a 3-dB bandwidth of axial ratio of 22.2%.

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Cameras are common in the public building, and become one of the popular sensors for the indoor tracking. However, a camera will produce much data and consume much energy. Consequently, the cameras, deployed in a large area, would have no overlapping field of views (fovs). This leads to we cannot determine the person's position in unobserved area correctly, due to the person's unpredicted motion change, such as taking turns. Smart phone-based dead reckoning (DR) method is recently observed to be an alternative for filling these cameras' gaps to realize seamless tracking. Therefore, in this paper, we propose to accurately track a person in indoor environment by employing particle filtering, which fuses the absolute position results from cameras and the relative position results from the smart phone-based DR method. Experiment results demonstrate the performance of the proposed joint tracking system. As we expected, the dead reckoning's drawbacks such as accumulative errors and the unavailability of the initial position, are solved by the cameras. As well, the positions' estimations between the cameras are filled with the DR method.Index Terms-indoor tracking; camera networks; mobile phone; non-overlapping field of views.