【摘要】 在块恒模盲均衡算法(BCMA)的基础上,引入可变步长因子,提出了一种新的变步长BCMA算法(VSS-BCMA)。该算法的实时步长会随着块平均误差增加或减小而相应变大或变小,在算法初始阶段步长较大,而在趋于稳态时步长较小。实验仿真和分析表明,该算法与原BCMA算法相比,具有更快的收敛速度,更小的稳态误差,且信道均衡性能良好,易于实时分块并行处理。该算法比传统的变步长CMA算法运算效率更高,有利于并行运算,节省了时间,提高了处理器的实时处理速度和效能。更多还原

【Abstract】 Based on BCMA(block constant modulus blind equalization algorithm) and by introducing variable step factor, a new VSS-BCMA(variable step-size BCMA) algorithm is proposed. The real-time step-size of the algorithm would increase or decrease with raising or dropping of the averaged block error. At the initial stage of the algorithm, the step-size is fairly large, while at the steady state relatively small. Simulated experiments and thoretical analysis indicate that the new algorithm, as compared with traditional BCMA algorithm, is of faster convergence speed, smaller steady-state error, with good performance of channel equalization and easy real-time parallel processing, and also as compared with traditional variable step-size CMA algorithm, the algorithm has an even higher operation efficiency, is easy for parallel operation, and thus could save time and improve real-time processing speed and efficiency of the processor.更多还原