水声稀疏时变SIMO信道盲均衡算法
发布时间：2018-11-23 12:27
【摘要】：基于复指数基扩展模型(Complex exponential basis expansion model,CE-BEM),利用信道的稀疏特性和发送信号的常模特性(Constant Modulus,CM),提出水声稀疏时变(Time-variant,TV)SIMO信道盲均衡算法。首先采用l0-范数约束的比例系数归一化最小均方误差常模算法对等效信道矩阵的稀疏时不变部分进行均衡,然后采用基频率估计算法估计基频率并对多普勒频移进行补偿,最后对恢复信号中存在的相偏进行估计补偿。仿真实验结果表明,本文算法提高了均衡器的收敛速度,降低了剩余码间干扰。
[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.
【作者单位】： 解放军信息工程大学信息系统工程学院;
【分类号】：TN911.5
，
本文编号：2351609
[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.
【作者单位】： 解放军信息工程大学信息系统工程学院;
【分类号】：TN911.5
，
本文编号：2351609
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