电子与信息学报
電子與信息學報
전자여신식학보
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY
2013年
3期
177-182
,共6页
水声通信%Turbo均衡%信道估计%快速自优化最小均方算法%锁相环
水聲通信%Turbo均衡%信道估計%快速自優化最小均方算法%鎖相環
수성통신%Turbo균형%신도고계%쾌속자우화최소균방산법%쇄상배
Underwater acoustic communication%Turbo equalization%Channel estimation%Fast self-Optimized LMS (FOLMS)%Phase lock loop
Turbo均衡技术是水声相干通信克服信道多径、消除码间干扰(ISI)的有效工具.Turbo均衡实际使用时需要对时变、多径信道进行良好的估计.为了提高信道估计的效果,该文基于时变横向滤波和相位旋转信道模型,提出一种水声通信 Turbo 均衡中的软迭代信道估计算法.该算法采用快速自优化最小均方算法得到各数据符号处的横向滤波器系数矢量并与二阶锁相环联合优化计算.通过仿真比较,该算法明显优于硬迭代信道估计算法,且相位估计性能优于其他文献中的软迭代信道估计算法.在海上试验中,水声通信距离5 km,方向近似垂直,接收阵起伏周期10 s,起伏幅度5 m左右,在此情况下进行数据采集.将该算法用于对海试数据的单通道Turbo均衡处理,实现无误码输出,验证了所提算法在软迭代信道相位估计方面的优势.
Turbo均衡技術是水聲相榦通信剋服信道多徑、消除碼間榦擾(ISI)的有效工具.Turbo均衡實際使用時需要對時變、多徑信道進行良好的估計.為瞭提高信道估計的效果,該文基于時變橫嚮濾波和相位鏇轉信道模型,提齣一種水聲通信 Turbo 均衡中的軟迭代信道估計算法.該算法採用快速自優化最小均方算法得到各數據符號處的橫嚮濾波器繫數矢量併與二階鎖相環聯閤優化計算.通過倣真比較,該算法明顯優于硬迭代信道估計算法,且相位估計性能優于其他文獻中的軟迭代信道估計算法.在海上試驗中,水聲通信距離5 km,方嚮近似垂直,接收陣起伏週期10 s,起伏幅度5 m左右,在此情況下進行數據採集.將該算法用于對海試數據的單通道Turbo均衡處理,實現無誤碼輸齣,驗證瞭所提算法在軟迭代信道相位估計方麵的優勢.
Turbo균형기술시수성상간통신극복신도다경、소제마간간우(ISI)적유효공구.Turbo균형실제사용시수요대시변、다경신도진행량호적고계.위료제고신도고계적효과,해문기우시변횡향려파화상위선전신도모형,제출일충수성통신 Turbo 균형중적연질대신도고계산법.해산법채용쾌속자우화최소균방산법득도각수거부호처적횡향려파기계수시량병여이계쇄상배연합우화계산.통과방진비교,해산법명현우우경질대신도고계산법,차상위고계성능우우기타문헌중적연질대신도고계산법.재해상시험중,수성통신거리5 km,방향근사수직,접수진기복주기10 s,기복폭도5 m좌우,재차정황하진행수거채집.장해산법용우대해시수거적단통도Turbo균형처리,실현무오마수출,험증료소제산법재연질대신도상위고계방면적우세.
Turbo equalization is the effective method to overcome multipath fading and eliminate Inter-Symbol Interference (ISI) for underwater acoustic coherent communications. In practice, turbo equalization estimates information of time-varying and multi-path channel. In order to improve the performance of channel and phase estimation, an algorithm of combining soft iterative channel and phase estimation for turbo equalization is proposed based on channel mode of time-varying transversal filter and phase rotation. The algorithm adopts soft iterative fast self-optimized LMS to get transversal filter coefficients vector for every symbol and combing it and second-order phase-locked loop for optimization. Through simulation, the proposed algorithm is better than conventional hard decision channel and phase estimation algorithm. As to performance of phase estimation, the proposed algorithm is better than soft iterative channel estimation raised in other references. During the sea experiment, underwater acoustic communication distance is 5 m, approximately in vertical direction and the fuctuation period of receiver array is 10 s. The algorithm is adopted for single-channel Turbo equalization on sea experiment data, which can output error-free symbols. The result verifies the advantage of all of the algorithms in the soft channel estimation.