德州学院学报
德州學院學報
덕주학원학보
JOURNAL OF DEZHOU UNIVERSITY
2014年
6期
68-73
,共6页
盲均衡%水声信道%正交小波变换%布谷鸟搜索%动态加权多模
盲均衡%水聲信道%正交小波變換%佈穀鳥搜索%動態加權多模
맹균형%수성신도%정교소파변환%포곡조수색%동태가권다모
blind equalization%underwater acoustic communication%wavelet transform%cuckoo search%dynamic weighted multiple modulus algorithm
为了更好地均衡高阶 QAM信号，本文提出了基于改进的布谷鸟搜索算法优化的正交小波动态加权多模盲均衡算法(ICS-WT-DWMMA)，利用改进了的布谷鸟搜索算法初始化均衡器的权向量，利用小波变换(WT)降低信号自相关性，其中动态加权多模盲均衡算法(DWMMA)利用由判决符号的指数幂构成的加权项来调整代价函数中的模值。水声信道的MATLAB仿真实验结果表明，与小波加权多模盲均衡算法和小波动态加权多模盲均衡算法比较，新算法收敛速度更快，稳态误差更小。
為瞭更好地均衡高階 QAM信號，本文提齣瞭基于改進的佈穀鳥搜索算法優化的正交小波動態加權多模盲均衡算法(ICS-WT-DWMMA)，利用改進瞭的佈穀鳥搜索算法初始化均衡器的權嚮量，利用小波變換(WT)降低信號自相關性，其中動態加權多模盲均衡算法(DWMMA)利用由判決符號的指數冪構成的加權項來調整代價函數中的模值。水聲信道的MATLAB倣真實驗結果錶明，與小波加權多模盲均衡算法和小波動態加權多模盲均衡算法比較，新算法收斂速度更快，穩態誤差更小。
위료경호지균형고계 QAM신호，본문제출료기우개진적포곡조수색산법우화적정교소파동태가권다모맹균형산법(ICS-WT-DWMMA)，이용개진료적포곡조수색산법초시화균형기적권향량，이용소파변환(WT)강저신호자상관성，기중동태가권다모맹균형산법(DWMMA)이용유판결부호적지수멱구성적가권항래조정대개함수중적모치。수성신도적MATLAB방진실험결과표명，여소파가권다모맹균형산법화소파동태가권다모맹균형산법비교，신산법수렴속도경쾌，은태오차경소。
In order to improve the equalization of high-order QAM signals,the Orthogonal Wavelet Transform Dynamic Weighted Multi-Modulus blind equalization Algorithm based on the Improved Cuck-oo Search Algorithm (ICS-WT-DWMMA)was proposed.It took advantage of the weight vector which improved cuckoo search algorithm initialization of equalizer and the wavelet transform (WT)to reduce the signal autocorrelation.The DWMMA (Dynamic Weighted Multi-Modulus blind equalization Algorithm ) adj usted the modulus in the cost function by weighted term composed of exponent of decision symbol.The MATLAB simulation results of underwater acoustic channel shew that,compared with Wavelet Weighted Multimodulus blind equalization algorithm and wavelet dynamic weighted Multimodulus blind equalization algorithm,the new algorithm had a faster convergence speed and steady-state error was smaller.
