| No | 191568 |
|---|---|
| 標題（和） | Steady-State Kalman Filtering for Channel Estimation in OFDM Systems Utilizing SNR |
| 標題（英） | Steady-State Kalman Filtering for Channel Estimation in OFDM Systems Utilizing SNR |
| 研究会名（和） | 通信方式 |
| 研究会名（英） | Communication Systems |
| 開催年月日 | 2008-11-06 |
| 終了年月日 | 2008-11-07 |
| 会議種別コード | 5 |
| 共催団体名（和） | |
| 資料番号 | CS2008-36 |
| 抄録（和） | |
| 抄録（英） | Kalman filters are effective channel estimators but they have the drawback of having heavy calculations when filtering needs to be done in each sample. In our paper we obtain the steady-state Kalman gain to estimate the channel state thus eliminating a larger portion of the calculation burden. Steady-state value is calculated by transforming the vector Kalman filtering in to scalar domain by exploiting the filter characteristics when pilot subcarriers are used for channel estimation. Kalman filters operate optimally in the steady-state condition. Therefore by avoiding the convergence period of the Kalman gain, the proposed scheme is able to perform better than the conventional method. Also, driving noise variance of the channel is difficult to obtain practical situations and accurate knowledge is important for the proper operation of the Kalman filter. Thus we extend our scheme to operate in the absence of the knowledge of driving noise variance by utilizing received Signal-to-Noise Ratio (SNR). Simulation results show considerable estimator performance gain can be obtained compared to the conventional Kalman filter. |
| 収録資料名（和） | 電子情報通信学会技術研究報告 |
| 収録資料の巻号 | Vol.108, No.279 |
| ページ開始 | 65 |
| ページ終了 | 70 |
| キーワード（和） | |
| キーワード（英） | Orthogonal-frequency-division-multiplexing (OFDM),channel estimation,steady-state,Kalman filter |
| 本文の言語 | ENG |
| 著者（和） | Maduranga Liyanage |
| 著者（ヨミ） | |
| 著者（英） | Maduranga Liyanage |
| 所属機関（和） | 慶応義塾大学 |
| 所属機関（英） | Keio University |
| 著者（和） | 笹瀬巌 |
| 著者（ヨミ） | |
| 著者（英） | Iwao Sasase |
| 所属機関（和） | 慶応義塾大学 |
| 所属機関（英） | Keio University |