A Faster Means to Estimate SAR Values for Mobile Phone Applications

Abstract

Based on experimental studies, a robust transformation factor is introduced for transforming the far-field energy to the near-field one. A simple formula is proposed that accurately and quickly estimates the peak 1-g or 10-g averaged specific absorption rate (SAR) in a human phantom exposed to a mobile handset. It is demonstrated experimentally that the proposed formula has higher accuracy for both 1-g and 10-g averaged SAR across different systems (e.g., CDMA, GSM, DCS, PCS, and WCDMA) by using 100 mobile handsets in four different types to be the device under test (DUT). The corresponding root mean squared errors of the calculated results are 9.96% and 6.82% for 1-g and 10-g averaged peak SAR, respectively, thereby confirming the performance predictions.