摘要： 数据引导均衡算法(DDEA)存在利用上一帧信道参数均衡当前数据帧、假设一帧数据内信道恒定、均衡器和译码器之间传递硬判决信息等问题。为此，提出3种改进算法，硬判决迭代DDEA算法通过迭代，使得均衡当前数据帧时利用的信道参数接近于当前帧的实际信道参数，可变信道系数DDEA算法允许每个采样间隔信道系数都是变化的，DDEA-Turbo均衡算法通过传递软判决信息改善系统性能。仿真结果表明，与DDEA算法相比，3种改进算法信噪比改善程度分别达到3.5 dB、2 dB、6 dB，信道均衡性能都有不同程度的提高。

关键词: 数据引导均衡算法, 硬判决迭代, 可变信道参数, Turbo均衡, 软判决, 硬判决

Abstract: The channel coefficients of the last frame are used to equalize the data of current frame. The channel coefficients are supposed to be constant during a frame of data, hard decision information is passed from equalizer to decoder, in order to solve these problems, three improved algorithms based on Data Directed Equalization Algorithm(DDEA) are proposed. The channel coefficients used to equalize the data of current frame are close to the true parameters according to iteration in hard decision iteration DDEA. The channel coefficients at every sampling interval are different in variable channel coefficients DDEA. Soft decision information is delivered between channel estimator, equalizer and decoder. Simulation result shows that the performances of these three proposed algorithms reach 3.5dB, 2dB and 6dB, they are improved at different degree, compared with the current DDEA.

Key words: Data Directed Equalization Algorithm(DDEA), hard decision iteration, variable channel coefficients, Turbo equalization, soft decision, hard decision

中图分类号: 

• TP391