计算机工程与设计
計算機工程與設計
계산궤공정여설계
COMPUTER ENGINEERING AND DESIGN
2010年
6期
1297-1300
,共4页
盲均衡%误差反传算法%神经网络%自适应算法%动量项
盲均衡%誤差反傳算法%神經網絡%自適應算法%動量項
맹균형%오차반전산법%신경망락%자괄응산법%동량항
blind equalization%BP algorithm%neural network%adaptive algorithm%momentum factor
为了消除数字信号在传输过程中产生的码间串扰,使得接收端能够正确解调,对信道畸变进行有效补偿,在基于动量项BP神经网络盲均衡算法的基础上,提出一种能够自适应调节BP神经网络动量项的盲均衡算法.该算法根据盲均衡过程中误差函数的变化情况,自适应调节BP神经网络的动量项,充分发挥动量项在避免网络训练陷于较浅的局部极小点的优势.仿真实验结果表明,该算法在稳定性及收敛性能上均优于固定动量BP神经网络盲均衡算法.
為瞭消除數字信號在傳輸過程中產生的碼間串擾,使得接收耑能夠正確解調,對信道畸變進行有效補償,在基于動量項BP神經網絡盲均衡算法的基礎上,提齣一種能夠自適應調節BP神經網絡動量項的盲均衡算法.該算法根據盲均衡過程中誤差函數的變化情況,自適應調節BP神經網絡的動量項,充分髮揮動量項在避免網絡訓練陷于較淺的跼部極小點的優勢.倣真實驗結果錶明,該算法在穩定性及收斂性能上均優于固定動量BP神經網絡盲均衡算法.
위료소제수자신호재전수과정중산생적마간천우,사득접수단능구정학해조,대신도기변진행유효보상,재기우동량항BP신경망락맹균형산법적기출상,제출일충능구자괄응조절BP신경망락동량항적맹균형산법.해산법근거맹균형과정중오차함수적변화정황,자괄응조절BP신경망락적동량항,충분발휘동량항재피면망락훈련함우교천적국부겁소점적우세.방진실험결과표명,해산법재은정성급수렴성능상균우우고정동량BP신경망락맹균형산법.
To infer the transmitted signal from the received signal and to eliminate the InterSymbol interference of the signal, an adaptive momentum factor is introduced for blind equalization based on BP neural network with momentum factor. The momentum factor is modi-fied adaptively according to the values of mean square error. Stimulation shows that this new algorithm is superior to that using constant momentum only, in such aspects as the convergence speed, the steady residual error and the bit-error-rate.
