基于移动抽头机制的判决反馈盲均衡算法研究

Research on decision feedback blind equalization algorithm based on tap-moving mechanism

从系统时延值与判决反馈均衡器MSE收敛能力间的数学关系出发,借助不同类型的水声信道,对判决反馈均衡器时延值所造成的MSE性能影响进行系统分析,从结构组成上,创新性研究、阐述了判决反馈均衡器内部的工作规律,并在此研究基础上,提出了一种专用于判决反馈均衡器的新型移动抽头盲均衡算法,克服了传统算法所具有的收敛速度差异问题,在解决内部均衡冲突的基础上,通过均衡器时延值的自调节,成功实现MSE收敛性能的自动优化调整,提高了判决反馈盲均衡器对不同水声信道环境的适应能力和有效性,通过仿真和实地试验,验证了该算法能够在不同水声信道环境下自动调节系统时延值,大幅提高判决反馈均衡算法的收敛能力,同时有效克服了均衡器内部的冲突,使算法始终保持有较快地收敛速度。

Based on the mathematical relations between the system delay and MSE convergence abilities of decision feedback equalizers, the effects of the decision feedback equalizer delay on the MSE are analyzed systematically using different underwater acoustic channels. The inside working rules of the decision feedback equalizers are discussed from the structural composition; and based on the study, a new tap-moving blind equalization algorithm specially used in the decision feedback equalizers is proposed. The new algorithm overcomes the diversities of convergence speed found in traditional decision feedback equalizer and strengthens the MSE convergence ability automatically by controlling the equalizer delay, which improves the equalizer adaptability in underwater acoustic channels greatly. Simulations and experiments verify the correctness and effectiveness of the new algorithm.