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在数字通信系统中为了克服码间干扰,常采用基于不需要使用训练序列的常数模算法的分数间隔盲均衡技术.但是该技术在对非常模信号,如高阶QAM信号,进行均衡时存在稳态均方误差大的缺陷.因此提出了一种基于常数模算法和自适应变模值符号Godard算法的联合盲均衡.新方法将常数模算法作为基础部分用来使接收信号的眼图睁开;将自适应变模值符号Godard算法作为第二部分用来进一步减少算法的残留误差.通过计算机仿真验证了新方法比基于常数模算法的分数间隔盲均衡具有更低的稳态均方误差.
In order to overcome intersymbol interference in digital communication systems, fractional-interval blind equalization based on constant-modulus algorithms that do not require the use of training sequences is often used. However, this technique exists when performing equalization on non-modal signals, such as higher-order QAM signals The steady-state mean square error is large, so a joint blind equalization method based on the constant modulus algorithm and the adaptive variable modulus value Godard algorithm is proposed.The new method uses the constant modulus algorithm as the basic part to make the eye of the received signal The graph opens, and the adaptive Godard algorithm is used as the second part to further reduce the residual error of the algorithm.The computer simulation shows that the new method has a lower steady-state than the blind algorithm based on the constant modulus algorithm Mean square error.