CAJ | 학술논문

　　为了解决无线移动通信 MIMO-OFDM 系统中导频辅助信道估计方法所存在的估计精度问题，提出了一种基于改进 LMS 算法的自适应滤波优化方法。首先使用 LS 算法对信道进行初始估计，然后利用估计结果恢复出原始发送数据，最后通过自适应滤波的方式对信道估计结果进行重新优化得到新的信道估计矩阵，可以获得更优的估计性能。仿真结果表明，提出的改进 LMS 算法相比于基本 LMS 算法具有更快的收敛速度和更好的稳态性能，自适应滤波优化后信道估计性能得到很大提高。
　　위료해결무선이동통신 MIMO-OFDM 계통중도빈보조신도고계방법소존재적고계정도문제，제출료일충기우개진 LMS 산법적자괄응려파우화방법。수선사용 LS 산법대신도진행초시고계，연후이용고계결과회복출원시발송수거，최후통과자괄응려파적방식대신도고계결과진행중신우화득도신적신도고계구진，가이획득경우적고계성능。방진결과표명，제출적개진 LMS 산법상비우기본 LMS 산법구유경쾌적수렴속도화경호적은태성능，자괄응려파우화후신도고계성능득도흔대제고。
To improve the estimation precision of pilot-symbol-aided channel estimator in wireless mobile communication MIMO-OFDM system, an optimization method based on LMS adaptive filtering algorithm is proposed. With LS algorithm, this method first makes an initial channel estimation, and then with the estimation result, restores the original data. And finally with adaptive filtering, the channel estimation result is re-optimized, thus to acquire a new channel estimation matrix and obtain an even better estimation performance. Simulation results show that the this modified algorithm has faster convergence speed and better stationary performance than LMS algorithm, and that the channel estimation performance is greatly improved.