兵工自动化
兵工自動化
병공자동화
ORDNANCE INDUSTRY AUTOMATION
2013年
11期
71-72,76
,共3页
时域均衡%LMS算法%前向预测-判决算法
時域均衡%LMS算法%前嚮預測-判決算法
시역균형%LMS산법%전향예측-판결산법
time domain equalization%LMS Algorithm%forward prediction-decision algorithm
为解决双极性训练序列无线信道中码间干扰的抑制问题，针对最小均方(least mean square，LMS)类算法在误差预测范围、步长选择和功率自适应方面的不足，提出一种前向预测-判决算法。建立了 ARMA(p,q)模型，由梯度预测公式推导出本算法的具体形式，设置误码率和输出信号功率作为算法性能的衡量标准，Matlab 仿真结果表明：该算法能较好地适应双极性序列，跟踪多径信道，大大减小误码率，使检出的信号功率不会因噪声的湮没而明显减小。
為解決雙極性訓練序列無線信道中碼間榦擾的抑製問題，針對最小均方(least mean square，LMS)類算法在誤差預測範圍、步長選擇和功率自適應方麵的不足，提齣一種前嚮預測-判決算法。建立瞭 ARMA(p,q)模型，由梯度預測公式推導齣本算法的具體形式，設置誤碼率和輸齣信號功率作為算法性能的衡量標準，Matlab 倣真結果錶明：該算法能較好地適應雙極性序列，跟蹤多徑信道，大大減小誤碼率，使檢齣的信號功率不會因譟聲的湮沒而明顯減小。
위해결쌍겁성훈련서렬무선신도중마간간우적억제문제，침대최소균방(least mean square，LMS)류산법재오차예측범위、보장선택화공솔자괄응방면적불족，제출일충전향예측-판결산법。건립료 ARMA(p,q)모형，유제도예측공식추도출본산법적구체형식，설치오마솔화수출신호공솔작위산법성능적형량표준，Matlab 방진결과표명：해산법능교호지괄응쌍겁성서렬，근종다경신도，대대감소오마솔，사검출적신호공솔불회인조성적인몰이명현감소。
In order to solve the problem about mitigation ISI, according to the disadvantage of least mean square (LMS) Algorithm in range of error prediction, choice of step size and power adaptation, a new forward prediction-decision algorithm is proposed. ARMA(p,q) model is built. The form of algorithm is derived from gradient prediction formula. Bit error rate (BER) and output signal power are set as standards of algorithm performance. Matlab simulation shows that the algorithm is suitable for bipolar sequence and tracking multipath channel, reduces BER and makes signal power will not decrease by noise annihilation.
