CAJ | 학술논문

为克服传统多输入判决反馈盲均衡算法(MI-DFE)稳态误差大、收敛速度慢的缺点,在分析正交小波、分数间隔均衡器、频率分集技术的基础上,提出了一种正交小波分数间隔频率分集自优化盲均衡算法(WT-FF-SOC). 该算法将正交小波、分数间隔均衡器与频率分集技术相结合,先得到正交小波分数间隔频率分集盲均衡算法(WT-FF);对WT-FF中每一路的输出合并后再进行判决反馈,用常数模算法(CMA)更新权向量,并作为WT-FF-SOC的跟踪模式;对WT-FF中的每一路信号进行判决反馈处理后,再对判决反馈滤波器的输出进行合并,在推导盲RLS算法后,用盲RLS算法更新权向量,并作为WT-FF-SOC的启动模式.两种模式利用代价函数的判决阈值进行切换.该算法具有收敛速度快、稳态误差小的特点.水声信道的仿真结果,验证了算法的有效性.
위극복전통다수입판결반궤맹균형산법(MI-DFE)은태오차대、수렴속도만적결점,재분석정교소파、분수간격균형기、빈솔분집기술적기출상,제출료일충정교소파분수간격빈솔분집자우화맹균형산법(WT-FF-SOC). 해산법장정교소파、분수간격균형기여빈솔분집기술상결합,선득도정교소파분수간격빈솔분집맹균형산법(WT-FF);대WT-FF중매일로적수출합병후재진행판결반궤,용상수모산법(CMA)경신권향량,병작위WT-FF-SOC적근종모식;대WT-FF중적매일로신호진행판결반궤처리후,재대판결반궤려파기적수출진행합병,재추도맹RLS산법후,용맹RLS산법경신권향량,병작위WT-FF-SOC적계동모식.량충모식이용대개함수적판결역치진행절환.해산법구유수렴속도쾌、은태오차소적특점.수성신도적방진결과,험증료산법적유효성.
For overcoming the large mean square error (MSE) and slow convergence rate of traditional multiple-input decision-feedback blind equalization algorithm (MI-DFE), a self-optimized blind equalization algorithm based on orthogonal wavelet transform and fractionally spaced frequency diversity (WT-FF-SOC) was proposed on the basis of analyzing orthogonal wavelet transform, fractionally spaced equalizer, and frequency diversity technique. In the proposed WT-FF-SOC algorithm, fractionally spaced frequency diversity blind equalization algorithm using orthogonal wavelet(WT-FF) was first obtained through fusing orthogonal wavelet,fractionally spaced equalizer, and frequency diversity technique; after the output of every branch in the WT-FF was firstly combined, the structure of decision feedback based on the combined signal was introduced, and the tracking mode of WT-FF-SOC with constant modulus algorithm (CMA) was established; and after the every branch in the WT-FF introduced decision-feedback filters, the outputs of the decision-feedback filters were combined, and this structure was used as the starting up mode of WT-FF-SOC with blind RLS algorithm. Two modes can automatically switch according to the threshold of cost function decision. The proposed WT-FF-SOC algorithm has better ability to improve the convergence rate and reduce the MSE. The simulated results in underwater acoustic channel show validity of WT-FF-SOC algorithm.