CAJ | 학술논문

针对OFDM窄带信道在移动传输环境下的慢时变特性，提出了一种基于灰建模的信道估计算法．该算法利用前一时刻的已知信道信息，建立灰色数学模型，预测估计下一时刻的未知信道信息，实现信道的动态跟踪．理论分析和仿真结果验证了灰建模在以二维时频变量描述的信道估计领域中的可行性．与传统方法相比，该算法不仅对窄带慢衰落慢时变信道有良好的估计性能，而且具有运算低、频谱利用率高等优点．
침대OFDM착대신도재이동전수배경하적만시변특성，제출료일충기우회건모적신도고계산법．해산법이용전일시각적이지신도신식，건립회색수학모형，예측고계하일시각적미지신도신식，실현신도적동태근종．이론분석화방진결과험증료회건모재이이유시빈변량묘술적신도고계영역중적가행성．여전통방법상비，해산법불부대착대만쇠락만시변신도유량호적고계성능，이차구유운산저、빈보이용솔고등우점．
A novel grey modeling based estimation for narrow slow fading slowly time-varying OFDM channels in mobile environments is proposed. By establishing the grey model, the channel state information of the previous time-slot is utilized to dynamically predict the unknown channel state information of the subsequent time-slot. The feasibility of grey modeling applied for estimating the channel characterized by 2-D time-frequency variables is verified by both theoretical analysis and simulations. Compared with conventional channel estimation approaches, the proposed algorithm not only performs well in narrowband slow fading slowly time-varying channels, but also has low complexity and high spectrum efficiency.