论文部分内容阅读
为了解决传统的自适应均衡技术需发送训练序列的问题,采用盲均衡技术,利用接收信号本身的特征使均衡器收敛。提出了一种新的盲均衡算法(C&D算法),该算法将CRIMNO算法和判决引导(Decision Directed,DD)算法相结合,利用信号序列间的互不相关特性,从而使其具有全局收敛性能。实验结果表明:与CRIMNO算法相比,在相同的信噪比下,该算法具有收敛快速、运算量少和残留误差小的特点。
In order to solve the problem that the traditional adaptive equalization technique needs to send training sequences, blind equalization technique is adopted to utilize the characteristics of the received signal to make the equalizer converge. A new blind equalization algorithm (C & D algorithm) is proposed. This algorithm combines the CRIMNO algorithm with the Decision Directed (DD) algorithm and takes advantage of the irrelevant properties of signal sequences to make them globally convergent. Experimental results show that compared with CRIMNO algorithm, the proposed algorithm has the advantages of fast convergence, less computation and less residual error under the same SNR.