Optimization of Specific Absorption Rate Based on a Fast Estimation Model for Multiple-Antenna Transmitters
| Name | Year |
| Yuan-Hung Lin | 2019 |
| Keywords | |
| antennas, mobile antennas, multiple-input multiple-output communication, optimization methods, specific absorption rate |
A technique that improves multiple-input multiple-output (MIMO) specific absorption rate (SAR) is proposed for multiple-antenna transmitters. When multiple antennas are implemented, the SAR evaluation is more complex than the stand-alone counterpart. Techniques for the reduction of stand-alone SAR cannot be applied to the MIMO scenario straightforwardly. To reduce MIMO SAR and preserve radiation characteristics simultaneously, a technique based on solving the fast estimation model of MIMO SAR is proposed. The proposed technique is cast into two phases. In the phase one, the fast estimation model is constructed for MIMO SAR. This model can predict arbitrary combinations of MIMO SAR once the contribution of the electric field of each antenna is obtained. The capability of the prediction is validated through 19 scenarios. In the phase two, the fast estimation model is formulated as a mathematical programming problem, where the current amplitude of each antenna is treated as decision variables. The combination of the decision variables that leads to the lowest SAR is thus the optimum solution. The proposed technique is tested using a quad-element antenna system that operates in 3.4–3.7 GHz. The results indicate that most of the scenarios depict reduced SAR. The averaging MIMO SAR is improved by 13.75%.
Publications
- Y.‐H. Lin and Y.‐S. Chen, “Reduction of multiple‐input multiple‐output specific absorption rate synthesized using a fast estimation model,” Int. J. RF Microw. Comput. Aid. Eng., vol. 29, no. 12, pp. 1–13, Dec. 2019.
