【摘要】：基于復(fù)指數(shù)基擴(kuò)展模型(Complex exponential basis expansion model,CE-BEM),利用信道的稀疏特性和發(fā)送信號(hào)的常模特性(Constant Modulus,CM),提出水聲稀疏時(shí)變(Time-variant,TV)SIMO信道盲均衡算法。首先采用l0-范數(shù)約束的比例系數(shù)歸一化最小均方誤差常模算法對(duì)等效信道矩陣的稀疏時(shí)不變部分進(jìn)行均衡,然后采用基頻率估計(jì)算法估計(jì)基頻率并對(duì)多普勒頻移進(jìn)行補(bǔ)償,最后對(duì)恢復(fù)信號(hào)中存在的相偏進(jìn)行估計(jì)補(bǔ)償。仿真實(shí)驗(yàn)結(jié)果表明,本文算法提高了均衡器的收斂速度,降低了剩余碼間干擾。
[Abstract]:Based on the complex exponential basis expansion model (Complex exponential basis expansion model,CE-BEM), a blind equalization algorithm for underwater acoustic sparse time-varying (Time-variant,TV) SIMO channels is proposed by using the sparse characteristics of the channel and the constant modulus characteristic (Constant Modulus,CM) of the transmitted signals. First, the sparse time-invariant part of the equivalent channel matrix is equalized by the normalized minimum mean square error constant algorithm of the proportional coefficient with l0-norm constraint, then the base frequency estimation algorithm is used to estimate the base frequency and the Doppler frequency shift is compensated. Finally, the phase bias in the recovery signal is estimated and compensated. The simulation results show that the proposed algorithm improves the convergence speed of the equalizer and reduces the residual inter-symbol interference.
【作者單位】： 解放軍信息工程大學(xué)信息系統(tǒng)工程學(xué)院;
【分類(lèi)號(hào)】：TN911.5
，

本文編號(hào)：2351609